What's new in IBM Cloud Pak for Data?

See what new features and improvements are available in the latest release of IBM® Cloud Pak for Data.

Refresh 9 of Version 4.0

Released: May 2022

This release of Cloud Pak for Data is primarily focused on defect and security fixes. However, this release also includes new features for services such as DataStage® and Watson™ Discovery.

In addition, Refresh 9 of Version 4.0 includes:
  • The initial release of Open Data for Industries on Cloud Pak for Data Version 4.0.
  • Updated support statements for Red Hat® OpenShift® Service on AWS (ROSA)
Restriction:
If Cognos® Analytics is installed on your cluster, it is recommended that you:
  1. Backup your Cognos Analytics data store.
  2. Uninstall Cognos Analytics.
  3. Upgrade the Cloud Pak for Data platform
  4. Install Cognos Analytics.
Software Version What does it mean for me?
Cloud Pak for Data platform

(Provided by the IBM Cloud Pak® for Data platform operator)

Platform operator: Not refreshing

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.14.0
  • Operator:
    • Common services: 3.18.0
    • Zen: 1.5.4
  • Operand:
    • Common services: 3.18.0
    • Zen: 4.4.4

Refresh 9 of Version 4.0 platform includes various fixes.

For details, see What's new and changed in the platform.

Related documentation:
Cloud Pak for Data common core services
  • CASE: 1.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the common core services includes various fixes.

For details, see What's new and changed in the common core services.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Cloud Pak for Data scheduling service
  • CASE: 1.3.5
  • Operator: 1.3.5
  • Operand: 1.3.5

Version 1.3.5 of the scheduling service includes various fixes.

For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

The 4.0.9 release of Analytics Engine Powered by Apache Spark includes the following features and updates:

Spark 3.2 is now added, and Spark 3.0 is deprecated
You can start using Spark 3.2 to run your applications on Analytics Engine Powered by Apache Spark instances. Although you can still use Spark 3.0, you should think about moving to Spark 3.2.
Python 3.8 has been removed
Python 3.8 has been removed on IBM Z® and LinuxONE. You can run your Spark applications with Python 3.9.

Version 4.0.9 of the Analytics Engine Powered by Apache Spark includes various fixes.

For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Dashboards
  • CASE: 2.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Cognos Dashboards service includes various fixes.

For details, see What's new and changed in Cognos Dashboards.

Related documentation:
Cognos Dashboards
Data Privacy
  • CASE: 4.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Data Privacy service includes various fixes.

For details, see What's new and changed in Data Privacy.

Related documentation:
Data Privacy
Data Refinery
  • CASE: 1.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Data Refinery service includes various fixes.

For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
DataStage
  • CASE: 4.0.10
  • Operator: 1.0.7
  • Operand: 4.0.9

The 4.0.9 release of DataStage includes the following features and updates:

Connect to more data sources in DataStage
You can now include data from these data sources in your DataStage flows:
  • Generic S3
  • Teradata (optimized)

For the full list of connectors, see DataStage connectors.

Certain connectors now provide a faster way to test and add metadata from their associated connections
When you create the connection, the Test connection button on Add connection page now works for these connections. (Previously, you did not have a way to test the connection in the user interface.)
  • Apache Kafka
  • Db2® (optimized)
  • Netezza® Performance Server (optimized)
  • ODBC
  • Oracle (optimized)
  • Salesforce.com (optimized)
  • Teradata (optimized)

After you create the connection, in DataStage you can drag the Asset browser to the canvas, select a connection and drill down to add or preview the data for these connectors. (Previously, your only option was to drag a connector to the canvas, double-click it to open its Details card, and then go to Properties > Connection and select the connection.)

  • Db2 (optimized)
  • ODBC

For the full list of connectors, see DataStage connectors.

New stages
The following stages are now available for you to use in DataStage flows:
  • Complex Flat File (CFF)
  • Hierarchical stage: REST step
  • Build stage
  • Match Frequency stage
  • One-source Match stage

For more information and the full list of stages, see DataStage stages and QualityStage stages. For more information on the Build stage, see Defining build stages.

Download a DataStage flow and its dependencies as a single file
You can download an individual DataStage flow and its dependencies conveniently bundled together as a ZIP file. You can then import the file into another project.

Dependencies include items such as connections, subflows, and parameter sets.

For details, see Downloading and importing a DataStage flow and its dependencies.

Version 4.0.9 of the DataStage service includes various fixes.

For details, see What's new and changed in DataStage.

Related documentation:
DataStage
Decision Optimization
  • CASE: 4.0.9
  • Operator: 4.0.9
  • Operand: 4.0.9
Deprecation notice for do_12.9 and do_12.10 CPLEX runtimes
The CPLEX runtimes do_12.9 and do_12.10 will be removed in the next release of Cloud Pak for Data, so you must start using the do_20.1 runtime.
Important: Make sure that all your existing deployments use do_20.1 before you upgrade to the next release of Cloud Pak for Data. Any outdated deployments will be removed during the upgrade to the next release.
You can update your existing deployments by using either of the following options:

Version 4.0.9 of the Decision Optimization service includes various fixes.

For details, see What's new and changed in Decision Optimization.

Related documentation:
Decision Optimization
Execution Engine for Apache Hadoop
  • CASE: 4.0.10
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Execution Engine for Apache Hadoop service includes various fixes.

For details, see What's new and changed in Execution Engine for Apache Hadoop.

Related documentation:
Execution Engine for Apache Hadoop
IBM Match 360
  • CASE: 1.0.209
  • Operator: 1.1.278
  • Operand: 1.1.278

Version 1.1.2780 of the IBM Match 360 service includes various fixes.

For details, see What's new and changed in IBM Match 360.

Related documentation:
IBM Match 360 with Watson
Open Data for Industries
  • CASE: 3.0.0
  • Operator: 3.0.0
  • Operand: 3.0.0

Open Data for Industries is now available on Cloud Pak for Data Version 4.0. Use the Open Data for Industries service on Cloud Pak for Data to govern your oil and gas data.

New tool to install the software utilities
The installation process for the software utilities is simplified with the new operator-based tool. In addition, the configuration and validation process is now automated. For details, see Installing software utilities.
Support for multitenancy resource separation
With resource separation, you can reduce operational expenses while maintaining security, compliance, and independent operability. For details, see Multitenancy in Open Data for Industries.
Integration of registration and notification
Use the newly integrated notification mechanism in Open Data for Industries to enable the API endpoints to communicate event-driven messages to internal and external data solutions. For details, see Notifications in Open Data for Industries.
Documentation enhancements
The Getting started with Open Data for Industries documentation guides you through the pre-installation, installation, configuration, and usage tasks.
Related documentation:
Open Data for Industries
Planning Analytics
  • CASE: 4.0.90573
  • Operator: 4.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
Product Master
  • CASE: 1.0.4+20220511.175530.3
  • Operator: 1.0.4
  • Operand: 1.0.4

Version 1.0.4 of the Product Master service includes various fixes.

For details, see What's new and changed in Product Master.

Related documentation:
Product Master
RStudio® Server with R 3.6
  • CASE: 1.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the RStudio Server with R 3.6 service includes various fixes.

For details, see What's new and changed in RStudio Server with R 3.6.

Related documentation:
RStudio Server with R 3.6
SPSS® Modeler
  • CASE: 1.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the SPSS Modeler service includes various fixes.

For details, see What's new and changed in SPSS Modeler.

Related documentation:
SPSS Modeler
Watson Discovery
  • CASE: 4.0.9
  • Operator: 4.0.9
  • Operand: 4.0.9

The 4.0.9 release of Watson Discovery includes the following features and updates:

API usage information is now available from the user interface
You can now get information about the analyze API usage from the API usage page (Data usage > API usage) in the Watson Discovery user interface. For details about the API, see Analyze API.
A new document status API is supported in Cloud Pak for Data instances
Use the new document status API to programmatically get a list of the documents in a collection and to get details about a single document.

The API is supported for collections that are created after 23 March 2022. If you want to get status information about a collection that was created earlier, you can trigger a process that runs the conversion step of ingestion on the documents. For example, from the Activity page for the collection, click Recrawl.

The API is not supported from the SDKs.

For more information about the new API, see the API reference documentation.

Version 4.0.9 of the Watson Discovery service includes various fixes.

Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Watson Knowledge Catalog service includes various fixes.

For details, see What's new and changed in Watson Knowledge Catalog.

Related documentation:
Watson Knowledge Catalog
Watson Knowledge Studio
  • CASE: 4.0.9
  • Operator: 4.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Watson Knowledge Studio service includes various fixes.

Related documentation:
Watson Knowledge Studio
Watson Machine Learning
  • CASE: 4.0.10
  • Operator: 1.1.8
  • Operand: 4.0.9

Version 4.0.9 of the Watson Machine Learning service includes various fixes.

Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.9
  • Operator: 1.0.9
  • Operand: 2.3.9

Version 2.3.9 of the Watson Machine Learning Accelerator service includes various fixes.

Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.5.4
  • Operator: 1.5.4
  • Operand: 4.0.9

Version 4.0.9 of the Watson OpenScale service includes various fixes.

For details, see What's new and changed in Watson OpenScale.

Related documentation:
Watson OpenScale
Watson Speech to Text
  • CASE: 4.0.10
  • Operator: 4.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Watson Speech to Text service includes various fixes.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.9
  • Operator: 2.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Watson Studio service includes various fixes.

For details, see What's new and changed in Watson Studio.

Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Watson Studio Runtimes service includes various fixes.

For details, see What's new and changed in Watson Studio Runtimes.

Related documentation:
Jupyter Notebook runtimes for Watson Studio
Watson Text to Speech
  • CASE: 4.0.10
  • Operator: 4.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Watson Text to Speech service includes various fixes.

Related documentation:
Watson Text to Speech

Refresh 8 of Version 4.0

Released: April 2022

This refresh of Cloud Pak for Data includes new features and enhancements for services such as Analytics Engine Powered by Apache Spark, Cognos Dashboards, and IBM Match 360 with Watson.

This refresh also includes the removal of Python 3.7 and Python 3.8, which were deprecated in previous refreshes.

Restriction:
If Cognos Analytics is installed on your cluster, it is recommended that you:
  1. Backup your Cognos Analytics data store.
  2. Uninstall Cognos Analytics.
  3. Upgrade the Cloud Pak for Data platform
  4. Install Cognos Analytics.
Software Version What does it mean for me?
Cloud Pak for Data platform

(Provided by the IBM Cloud Pak for Data platform operator)

Platform operator:

  • CASE: 2.0.13+05022022
  • Operator: 2.0.8

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.13.0
  • Operator:
    • Common services: 3.17.0
    • Zen: 1.5.3
  • Operand:
    • Common services: 3.17.0
    • Zen: 4.4.3
Refresh 8 of Version 4.0 of the Cloud Pak for Data platform includes the following features and updates:
New best practice for installing Cloud Pak for Data
The Cloud Pak for Data documentation includes a new best practices topic on setting up a script to source environment variables with the appropriate information for your environment. The script enables you to run most of the commands in the Installing and Upgrading sections of the documentation without making any changes.
The script can also help you:
  • Improve the consistency of installations across multiple environments
  • Simplify the process of managing multiple deployments on the same cluster
Restriction: The code blocks in the individual service installation and upgrade topics do not currently use the environment variables, but you can replace variables in the code blocks with the appropriate environment variable before you run the commands.

For details, see Best practices: Setting up install variables.

Updated guidance on pinning the control plane at a specific version
The documentation for installing and upgrading the Cloud Pak for Data control plane includes updated guidance for pinning the control plane at a specific version. This guidance helps prevent unexpected upgrades and is especially important if either of the following situations applies to your installation:
  • You have multiple IBM Cloud Paks on your cluster
  • You have multiple instances of IBM Cloud Pak for Data on your cluster

In these scenarios, you might need to support different versions of the ZenService control plane for each installation.

Refresh 8 of Version 4.0 platform includes various fixes.

Related documentation:
Cloud Pak for Data common core services
  • CASE: 1.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

Version 4.0.8 of the common core services includes various fixes.

For details, see What's new and changed in the common core services.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Cloud Pak for Data scheduling service
  • CASE: 1.3.4
  • Operator: 1.3.4
  • Operand: 1.3.4

Version 1.3.4 of the scheduling service includes various fixes.

For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

The 4.0.8 release of Analytics Engine Powered by Apache Spark includes the following features and updates:

Support for Spark service CLI commands
You can now use Analytics Engine Powered by Apache Spark CLI commands for:
  • Instance management actions
  • Spark application actions
  • History server actions

For details, see the Spark service CLI.

Python 3.7 and 3.8 have been removed
Python 3.7 and Python 3.8 have been removed in this release. You can no longer run applications by using Python 3.7 or 3.8. You must use Python 3.9.
Python 3.9 added to IBM Z and LinuxONE
You can now run Spark applications with Python 3.9 on IBM Z and LinuxONE
Support for Power® hardware has been removed
You can no longer install Analytics Engine Powered by Apache Spark on Red Hat OpenShift Container Platform clusters running on Power hardware.

Version 4.0.8 of the Analytics Engine Powered by Apache Spark includes various fixes.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.10
  • Operator: 4.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

The 4.0.8 release of Cognos Dashboards includes the following features and updates:

Select multiple objects by dragging your mouse
You can now select multiple widgets and visualizations by using your mouse. Click anywhere on the canvas and drag your cursor around the objects that you want to select. All items within the lasso are selected, and you can group them or easily move them all.
Vertical and horizontal distribution for objects
You can specify a vertical or horizontal distribution for objects on your dashboard to determine where they appear.

Set vertical or horizontal alignment by selecting at least three objects, and then either click the Align icon from the toolbar or use the Visualization properties under Layout.

Screen shot showing the Align option in Cognos Dashboard, and the Visualization properties option, which allows you to set an object's alignment
Change the style on axis and legend text
You now have more options for changing the text styles in visualizations on your dashboard.

Right-click an axis or a legend title and select Style text from the list. You can edit the title and the title style. And, you can apply your styling to all the axes on the visualization.

Screen shot of the Style text option which you can edit the title and the title style. And, you can apply your styling to all the axes on the visualization.
A different background color for each tab
You now have more control over the look of tabbed dashboards. In the dashboard properties, you can set a different background color for each of your tabs.
Enhanced widget properties
You can now style any visualization or widget on your dashboard to have rounded corners. The opacity property was improved so that it affects only the text widget background and not the text.
In addition, you can now control the following text widget properties:
  • You can adjust the inner margins.
  • You can choose a vertical alignment.
  • You can set indentations.
  • You can specify the line height.

Version 4.0.8 of the Cognos Dashboards service includes various fixes.

Related documentation:
Cognos Dashboards
Data Privacy
  • CASE: 4.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Data Privacy service includes various fixes.

For details, see What's new and changed in Data Privacy.

Related documentation:
Data Privacy
Data Refinery
  • CASE: 1.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Data Refinery service includes various fixes.

For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
Data Virtualization
  • CASE: 1.7.8
  • Operator: 1.7.8
  • Operand: 1.7.8

Version 1.7.8 of the Data Virtualization service includes various fixes.

For details, see What's new and changed in Data Virtualization.

Related documentation:
Data Virtualization
DataStage
  • CASE: 4.0.9
  • Operator: 1.0.6
  • Operand: 4.0.8

The 4.0.8 release of DataStage includes the following features and updates:

New connector: SAP HANA
You can now include data from SAP HANA in your DataStage flows. For the full list of DataStage connectors, see DataStage connectors.

Version 4.0.8 of the DataStage service includes various fixes.

For details, see What's new and changed in DataStage.

Related documentation:
DataStage
Db2
  • CASE: 4.0.10
  • Operator: 1.0.10
  • Operand: 4.0.10

The 4.0.10 release of Db2 includes the following features and updates:

SSL certificate extended
The SSL endpoint certificate that is used by Db2 now has an expiration of one year and 30 days. Previously the certificate expired after one month. If you are installing Db2 for the first time, the new certificate is automatically installed when you deploy the Db2 service. This feature is only available for new deployments.

Version 4.0.10 of the Db2 service includes various fixes.

Related documentation:
Db2
Db2 Big SQL
  • CASE: 7.2.8
  • Operator: 7.2.8
  • Operand: 7.2.8

Version 7.2.8 of the Db2 Big SQL service includes various fixes.

Related documentation:
Db2 Big SQL
Db2 Data Gate
  • CASE: 4.0.8
  • Operator: 2.0.8
  • Operand: 2.0.8

Version 2.0.8 of the Db2 Data Gate service includes various fixes.

For details, see What's new and changed in Db2 Data Gate.

Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • CASE: 4.0.8
  • Operator: 1.0.7
  • Operand: 4.0.8

The 4.0.8 release of Db2 Data Management Console includes the following features and updates:

TLS certificate support for Db2 SSL
Db2 Data Management Console now supports Db2 and Db2 Warehouse service instances that are configured to use the new TLS certificate for SSL connections.

The new TLS certificate has an expiration of one year and 30 days. Previously the certificate expired after one month.

Version 4.0.8 of the Db2 Data Management Console service includes various fixes.

For details, see What's new and changed in Db2 Data Management Console.

Related documentation:
Db2 Data Management Console
Db2 Warehouse
  • CASE: 4.0.10
  • Operator: 1.0.10
  • Operand: 4.0.10

The 4.0.10 release of Db2 Warehouse includes the following features and updates:

SSL certificate extended
The SSL endpoint certificate that is used by Db2 Warehouse now has an expiration of one year and 30 days. Previously the certificate expired after one month. If you are installing Db2 Warehouse for the first time, the new certificate is automatically installed when you deploy the Db2 Warehouse service. This feature is only available for new deployments.
Replication is now available on Db2 Warehouse MPP
The replication feature is now enabled for Db2 Warehouse massively parallel processing (MPP) environments. Replication supports continuous availability, data locality, and compliance and regulatory requirements. For details, see Replication.

Version 4.0.10 of the Db2 Warehouse service includes various fixes.

Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.8
  • Operator: 4.0.8
  • Operand: 4.0.8

The 4.0.8 release of Decision Optimization includes the following features and updates:

The default Python for Decision Optimization users is now 3.9. Python 3.7 and 3.8 have been removed.
Python is used to run Decision Optimization models formulated in DOcplex (a native Python API for Decision Optimization) in both Decision Optimization experiments and Jupyter notebooks. Modeling Assistant models also use Python because DOcplex code is generated when models are deployed.

Models that are formulated in OPL (a modeling language), or in specific file formats for CPLEX or CP Optimizer (the solver engines), such as LP or CPO formats, are not affected by this Python update.

If your models use the default Python version no change is required because the upgrade will be handled automatically. If however you have explicitly specified Python 3.7 or 3.8 in your model, you must update this version specification.
  • For experiments, you can select the Python version in the Run configuration pane. (For details, see Run parameters.) If the Python version parameter is not specified in your experiment, the default version is used automatically, and no action is required.
  • For Jupyter notebooks that use older versions of Python, you can change the Python version by selecting Change environment in the list of actions. Before you can edit your notebook, you must select a supported environment. When your notebook is open for editing, you can select an environment definition on the Environment tab in the Information pane in your notebook. For details, see Decision Optimization notebooks.
  • If you have an existing deployed model that explicitly uses Python 3.7 or 3.8 you must take one of the following actions:

Version 4.0.8 of the Decision Optimization service includes various fixes.

For details, see What's new and changed in Decision Optimization.

Related documentation:
Decision Optimization
EDB Postgres
  • CASE: 4.0.8
  • Operator:
    • PostgreSQL (third-party): 1.14.0
    • EDB Postgres (IBM) 4.0.8
  • Operand: 12.10 and 13.6

Version 12.10 and 13.6 of the EDB Postgres service includes various fixes.

Related documentation:
Execution Engine for Apache Hadoop
  • CASE: 4.0.9
  • Operator: 1.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Execution Engine for Apache Hadoop service includes various fixes.

For details, see What's new and changed in Execution Engine for Apache Hadoop.

Related documentation:
Execution Engine for Apache Hadoop
Guardium® External S-TAP®
  • CASE: 1.0.0
  • Operator: 1.0.0
  • Operand: 11.2, 11.3, and 11.4
Guardium External S-TAP is now available on Cloud Pak for Data Version 4.0.

The Guardium External S-TAP service is now available to monitor compliance and secure the data in your databases. Guardium External S-TAP is a component of IBM Guardium Data Protection.

With this release, you can install and configure the Guardium External S-TAP service in high-availability mode to intercept TCP/IP traffic (plain-text or encrypted) between Cloud Pak for Data users and database services. The intercepted traffic is sent to the Guardium collector for parsing, policy enforcement, logging, and reporting.

Related documentation:
Guardium External S-TAP
IBM Match 360
  • CASE: 1.0.202
  • Operator: 1.1.259
  • Operand: 1.1.259

The 1.1.259 release of IBM Match 360 includes the following features and updates:

New data auditing attributes provide data traceability
Now when you add or edit record data in IBM Match 360, the service adds system-generated audit attributes to each record so you can track their audit history, including:
  • The date when the data was added to IBM Match 360
  • The date when the data was last updated
  • The user who last updated the data
Improve your matching results by using multi-dimensional comparison filters
You can now fine tune your matching algorithm by defining multi-dimensional comparison filters. You can use these filters to compare selected attributes and then adjust matching scores and weights up or down based on criteria that you define. Multi-dimensional comparison filters can reduce the amount of false positive or false negative matches in your matching results. For details, see Customizing and strengthening your matching algorithm.

Version 1.1.2590 of the IBM Match 360 service includes various fixes.

For details, see What's new and changed in IBM Match 360.

Related documentation:
IBM Match 360 with Watson
Informix®
  • CASE:
    • Install: 4.0.6
    • Deployment: 4.0.6
  • Operator:
    • Install: 4.1.1
    • Deployment: 4.1.1
  • Operand: 4.1.1
Restriction: This refresh of Informix is not supported on Red Hat OpenShift Container Platform Version 4.6.

Version 4.1.1 of the Informix service includes various fixes.

Related documentation:
Informix
MongoDB
  • CASE: 4.0.8
  • Operator:
    • MongoDB Enterprise (third-party): 1.15.2
    • MongoDB (IBM) 4.0.8
  • Operand: 4.2.6 and 4.4.0

Versions 4.2.6 and 4.4.0 of the MongoDB service include various fixes.

Related documentation:
MongoDB
OpenPages®
  • CASE: 2.1.5+20220414.030441.82040426
  • Operator: 8.204.5
  • Operand: 8.204.5

Version 8.204.5 of the OpenPages service includes various fixes.

Related documentation:
OpenPages
Planning Analytics
  • CASE: 4.0.80529
  • Operator: 4.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
RStudio Server with R 3.6
  • CASE: 1.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

The 4.0.8 release of RStudio Server with R 3.6 includes the following features and updates:

Support for R 3.6 on IBM Runtimes 22.1
You can now use an IBM Runtimes 22.1 on R 3.6 environment when you work on R notebooks and scripts. This R 3.6 environment is based on the IBM Runtimes 22.1 release. For information on the IBM Runtimes 22.1 release, see Environments.

Version 4.0.8 of the RStudio Server with R 3.6 service includes various fixes.

For details, see What's new and changed in RStudio Server with R 3.6.

Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • CASE: 1.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

Version 4.0.8 of the SPSS Modeler service includes various fixes.

For details, see What's new and changed in SPSS Modeler.

Related documentation:
SPSS Modeler
Voice Gateway
  • CASE: 1.0.6
  • Operator: 1.0.6
  • Operand: 1.0.8

Version 1.0.8 of the Voice Gateway service includes security fixes and the following update:

Removed support for TLS v1.1
Voice Gateway no longer supports Transport Layer Security (TLS) v1.1.
Related documentation:
Voice Gateway
Watson Assistant
  • CASE: 4.0.8
  • Operator: 4.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Watson Assistant service includes security fixes and the following updates:

Closed entity values in French are normalized so that values match regardless of accent marks
Closed entities exact matches in French now use accent-normalized values or synonyms. For example, if you define a closed entity with a value or synonym with accent marks (for example, garçon or déjà), then variants without accent marks are also recognized (garcon or deja). Likewise, if a closed entity value or synonym is defined without accent marks, then user inputs with accent marks are also recognized.
Pattern entities allow spelling autocorrection
Pattern entities that match all characters and words that are usually used to count input words allow spelling autocorrection. For example, if a user defines the ^..{0,19}$ pattern entity that matches the first 20 characters of an input, then the entity match does not affect spelling autocorrection. In this example, an input of cancl transaction is autocorrected to cancel transaction. This change applies to the following languages: English and French.
Fuzzy matching updates
Previously, an update was made so that interactions between the stemming and misspelling fuzzy matching features were not allowed in English, French, German, and Czech. These interactions are still not allowed in English, but are allowed in French, German, and Czech.
Improved irrelevance detection for Dutch
Irrelevance detection for Dutch disregards any punctuation in an input sentence. For example, you can now expect the same confidence score for the following two inputs: ik ben een kleine krijger? and ik ben een kleine krijger. In this example, the question mark (?) doesn't affect the confidence score.
Improved enhanced intent detection
The exact match in enhanced intent detection now better handles small differences between training examples and runtime utterances when the differences do not change the meaning of a sentence.
Related documentation:
Watson Assistant
Watson Discovery
  • CASE: 4.0.8
  • Operator: 4.0.8
  • Operand: 4.0.8

The 4.0.8 release of Watson Discovery includes the following features and updates:

The Development deployment type was changed to Starter
When you install Watson Discovery, you can optionally specify the type of deployment by including the deploymentType parameter in your custom resource. The Development option is now called the Starter option.

The Development and Starter options are functionally the same, and both values are accepted by the service.

Version 4.0.8 of the Watson Discovery service includes various fixes.

Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

The 4.0.8 release of Watson Knowledge Catalog includes the following features and updates:

Filtering workflow tasks
In your Task inbox, you can now filter your open, in progress, and completed tasks so that you can find the tasks you want faster. Several filters are available, including request type and task status.

Version 4.0.8 of the Watson Knowledge Catalog service includes various fixes.

For details, see What's new and changed in Watson Knowledge Catalog.

Related documentation:
Watson Knowledge Catalog
Watson Machine Learning
  • CASE: 4.0.9
  • Operator: 1.1.7
  • Operand: 4.0.8

The 4.0.8 release of Watson Machine Learning includes the following features and updates:

Python 3.7 and 3.8 software specifications discontinued
Support for frameworks and software specifications based on Python 3.7 and 3.8 are discontinued in this release. Use software specifications based on Python 3.9 instead. For details, see Deployment frameworks and software specifications.
Train AutoAI experiment with data from a Generic S3 connection
You can now train an AutoAI experiment with data from a Generic S3 connection. This connection is available for training only and is not yet available for input data when you deploy the resulting model.
Support is discontinued for Core ML deployments for iOS
Core ML deployments for iOS, also known as virtual deployments, are no longer a supported deployment type.

Version 4.0.8 of the Watson Machine Learning service includes various fixes.

Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.8
  • Operator: 1.0.8
  • Operand: 2.3.8

The 2.3.8 release of Watson Machine Learning Accelerator includes the following features and updates:

Use the latest deep learning frameworks
Watson Machine Learning Accelerator now supports the following deep learning libraries:
  • TensorFlow 2.7.1
  • PyTorch 1.10
  • torchVision 0.11.3
  • OpenCV 4.5.5
  • xgboost 1.5.2
Access the Watson Machine Learning Accelerator service console from the Instances page
The URL to the Watson Machine Learning Accelerator console is now available on the Instances page. Use the URL to quickly access the service instance console.

For details on accessing the console, see Deep learning with Watson Machine Learning Accelerator.

Version 2.3.8 of the Watson Machine Learning Accelerator service includes various fixes.

Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.5.3
  • Operator: 1.5.3
  • Operand: 4.0.8

Version 4.0.8 of the Watson OpenScale service includes various fixes.

For details, see What's new and changed in Watson OpenScale.

Related documentation:
Watson OpenScale
Watson Speech to Text
  • CASE: 4.0.9
  • Operator: 4.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Watson Speech to Text service includes various fixes.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.8
  • Operator: 2.0.8
  • Operand: 4.0.8

The 4.0.8 release of Watson Studio includes the following features and updates:

Python 3.7 and Python 3.8 have been removed
Python 3.7 and Python 3.8 have been removed in Refresh 8 of Version 4.0. If you want to continue using your Python 3.7 and Python 3.8 notebooks, see Migrating Python 3.7 and 3.8 environments to Refresh 8 of Cloud Pak for Data 4.0 before you upgrade to Refresh 8 of Version 4.0.
Support for R 3.6 on IBM Runtimes 22.1
You can now use an IBM Runtimes 22.1 on R 3.6 environment when you work on R notebooks and scripts. This R 3.6 environment is based on the IBM Runtimes 22.1 release. For information on the IBM Runtimes 22.1 release, see Environments.
Deprecation notice for Default R 3.6
The Default R 3.6 environment is deprecated and will be removed in an upcoming release. Start using the IBM Runtimes 22.1 on R 3.6 environment when you create R notebooks and scripts.
JupyterLab 3.3.1 with Python Debugger enabled
JupyterLab is upgraded to Version 3.3.1 in Python runtimes and the debugger for ipykernel for Jupyter is enabled. You can now debug your Python notebooks and python script files directly from within JupyterLab.

Version 4.0.8 of the Watson Studio service includes various fixes.

For details, see What's new and changed in Watson Studio.

Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

The 4.0.8 release of Watson Studio Runtimes includes the following features and updates:

Python 3.7 and Python 3.8 have been removed
Python 3.7 and Python 3.8 have been removed in Refresh 8 of Version 4.0. If you want to continue using your Python 3.7 and Python 3.8 notebooks, see Migrating Python 3.7 and 3.8 environments to Refresh 8 of Cloud Pak for Data 4.0 before you upgrade to Refresh 8 of Version 4.0.
Support for R 3.6 on IBM Runtimes 22.1
You can now use an IBM Runtimes 22.1 on R 3.6 environment when you work on R notebooks and scripts. This R 3.6 environment is based on the IBM Runtimes 22.1 release. For information on the IBM Runtimes 22.1 release, see Environments.
Deprecation notice for Default R 3.6
The Default R 3.6 environment is deprecated and will be removed in an upcoming release. Start using the IBM Runtimes 22.1 on R 3.6 environment when you create R notebooks and scripts.
JupyterLab 3.3.1 with Python Debugger enabled
JupyterLab is upgraded to Version 3.3.1 in Python runtimes and the debugger for ipykernel for Jupyter is enabled. You can now debug your Python notebooks and python script files directly from within JupyterLab.

Version 4.0.8 of the Watson Studio Runtimes service includes various fixes.

For details, see What's new and changed in Watson Studio Runtimes.

Related documentation:
Jupyter Notebook runtimes for Watson Studio
Watson Text to Speech
  • CASE: 4.0.9
  • Operator: 4.0.8
  • Operand: 4.0.8

Version 4.0.8 of the Watson Text to Speech service includes various fixes.

Related documentation:
Watson Text to Speech

Refresh 7 of Version 4.0

Released: March 2022

This refresh of Cloud Pak for Data includes new features and enhancements for services such as Data Virtualization, IBM Match 360 with Watson, Watson Machine Learning, and Watson OpenScale.

This refresh also includes notices for:
  • The Db2 Event Store service
  • Python 3.7 and 3.8 for various services.
Software Version What does it mean for me?
Cloud Pak for Data platform

(Provided by the IBM Cloud Pak for Data platform operator)

Platform operator:

  • CASE: 2.0.12
  • Operator: 2.0.7

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.12.3
  • Operator:
    • Common services: 3.16.3
    • Zen: 1.5.2
  • Operand:
    • Common services: 3.16.3
    • Zen: 4.4.2

Refresh 7 of Version 4.0 platform includes various fixes.

For details, see What's new and changed in the platform.

Related documentation:
Cloud Pak for Data common core services
  • CASE: 1.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the common core services includes various fixes.

For details, see What's new and changed in the common core services.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Cloud Pak for Data scheduling service
  • CASE: 1.3.3
  • Operator: 1.3.3
  • Operand: 1.3.3

Version 1.3.3 of the scheduling service includes various fixes.

For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

The 4.0.7 release of Analytics Engine Powered by Apache Spark includes the following features and updates:

Spark 2.4 has been removed
Spark 2.4 has been removed in this release. You can no longer run Spark applications by using Spark 2.4. You must use Spark 3.0.
Deprecation notice for Python 3.7 and 3.8
Python 3.7 and 3.8 is deprecated and will be removed in an upcoming refresh. Start using Python 3.9 when creating Spark applications.

Version 4.0.7 of the Analytics Engine Powered by Apache Spark includes various fixes.

For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.9
  • Operator: 4.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Cognos Dashboards service includes various fixes.

Related documentation:
Cognos Dashboards
Data Privacy
  • CASE: 4.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Data Privacy service includes various fixes.

For details, see What's new and changed in Data Privacy.

Related documentation:
Data Privacy
Data Refinery
  • CASE: 1.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

The 4.0.7 release of Data Refinery includes the following features and updates:

Data Refinery flow jobs that use an environment definition with Spark 2.4 must be updated
If you have a Data Refinery flow job that uses Spark 2.4, for example, the "Default Spark 2.4 & R 3.6" environment definition, the job will fail. Change the environment definition to "Default Spark 3.0 & R 3.6," "Default Data Refinery XS," or create your own "Spark 3.0 & R 3.6" environment definition. For information, see Data Refinery environments.

Version 4.0.7 of the Data Refinery service includes various fixes.

For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
Data Virtualization
  • CASE: 1.7.7
  • Operator: 1.7.7
  • Operand: 1.7.7
The 1.7.7 release of Data Virtualization includes the following features and updates:
Use filters to make loading and virtualizing of tables faster

On the Data sources page, you can now filter tables for each data source based on catalog, schema, or table name with the new Filter data action in the overflow menu. Filters take effect immediately. When you virtualize data, only assets that meet the filter criteria are displayed, which speeds up loading and virtualization of tables.

Screenshot showing the Filter data option on the Data sources page and the Filter dialog box, which allows you to decide how to filter your data source.

For more information, see Filtering data in Data Virtualization.

When you virtualize objects, Data Virtualization loads a limited number of data sources to improve performance. You can filter the data sources to load by Source type, Database, and Schema to quickly find only those data sources that you are interested in.
You can click Refresh icon to refresh your data sources or load newly added data sources. Notifications indicate when new data sources become available and when tables are updated.
A screenshot showing filtering by Schema before reloading tables to virtualize.

For more information, see Creating virtual objects in Data Virtualization.

Enhanced statistics collection
You can gather statistics on a virtualized table by using the new DVSYS.COLLECT_STATISTICS procedure. This procedure replaces the SYSPROC.NNSTAT procedure and incorporates the following improvements:
  • Collect statistics from remote data sources that support statistics collection.
  • The number of null values in a column of a table.

For more information, see Collecting statistics in Data Virtualization.

Support for column headers in flat files in Cloud Object Storage

You can now virtualize text files that contain column headers in data sources in Cloud Object Storage. Column headers help categorize the data in columns for readability. For more information, see Creating a virtualized table from files in Cloud Object Storage in Data Virtualization.

Support for credentials that are stored in a vault for remote connections

You can now use credentials that are stored in a vault with remote connectors in Data Virtualization. For more information, see Using secrets from vaults in connections and Accessing data sources by using remote connectors in Data Virtualization.

Support for more data sources

For more information, see Supported data sources in Data Virtualization.

Support for UNIQUE and DISTINCT predicate pushdown on more data sources

Predicate pushdown is an optimization that reduces query times and memory usage. The following data sources now support pushdown of UNIQUE and DISTINCT predicates: Amazon Redshift, Apache Derby, Cloudera Impala, Data Virtualization Manager, Db2, Db2 Big SQL, Denodo, Google BigQuery, Greenplum, Hive, Informix, MariaDB, Microsoft SQL Server, MongoDB, Netezza, Oracle, PostgreSQL, Salesforce.com, SAP ASE, SAP HANA, SAP OData, Snowflake, SparkSQL using a Generic JDBC connection, Teradata.

Version 1.7.7 of the Data Virtualization service includes various fixes.

For details, see What's new and changed in Data Virtualization.

Related documentation:
Data Virtualization
DataStage
  • CASE: 4.0.8
  • Operator: 1.0.5
  • Operand: 4.0.7

The 4.0.7 release of DataStage includes the following features and updates:

New connectors
You can now include data from these data sources in your DataStage flows:
  • IBM MQ
  • Microsoft Azure Cosmos DB
  • Microsoft Azure SQL Database

For the full list of DataStage connectors, see DataStage connectors.

Version 4.0.7 of the DataStage service includes various fixes.

For details, see What's new and changed in DataStage.

Related documentation:
DataStage
Db2
  • CASE: 4.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Db2 service includes various fixes.

Related documentation:
Db2
Db2 Big SQL
  • CASE: 7.2.7
  • Operator: 7.2.7
  • Operand: 7.2.7

Version 7.2.7 of the Db2 Big SQL service includes various fixes.

Related documentation:
Db2 Big SQL
Db2 Data Gate
  • CASE: 4.0.7
  • Operator: 2.0.7
  • Operand: 2.0.7

The 2.0.7 release of Db2 Data Gate includes the following features and updates:

New synchronization details available
You can now view the number of inserted rows, updated rows, deleted rows, rollback rows, and utility rows on the Db2 Data Gate dashboard. You can use this information to evaluate the synchronization workload and analyze performance bottlenecks. For details, see Monitoring a Db2 Data Gate instance.
New button to temporarily disable synchronization
You can now click a button on the dashboard to disable synchronization temporarily for the entire set of tables in a Db2 Data Gate instance. Temporarily disabling synchronization is useful during maintenance jobs because pending updates do not get lost in the process, but can be applied when synchronization is re-enabled. For details, see Monitoring a Db2 Data Gate instance.
Alias for Db2 Data Gate instance name
Each time you create a Db2 Data Gate instance, you can specify a Data Gate pairing name, which is an alias for the instance name. The pairing name makes it easier to specify the correct instance name in routed queries and stored procedure calls because the original instance names can be long and cryptic. For details, see Creating a Db2 Data Gate instance.

Version 2.0.7 of the Db2 Data Gate service includes various fixes.

For details, see What's new and changed in Db2 Data Gate.

Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • CASE: 4.0.7
  • Operator: 1.0.6
  • Operand: 4.0.7

Version 4.0.7 of the Db2 Data Management Console service includes various fixes.

For details, see What's new and changed in Db2 Data Management Console.

Related documentation:
Db2 Data Management Console
Db2 Event Store Not refreshing
The Db2 Event Store service deprecated
The Db2 Event Store service is deprecated and will be removed from a future release of Cloud Pak for Data.

If you want to replace Db2 Event Store functionality, contact your IBM sales representative to discuss your options.

Db2 Warehouse
  • CASE: 4.0.9
  • Operator: 1.0.9
  • Operand: 4.0.9

Version 4.0.9 of the Db2 Warehouse service includes various fixes.

Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.7
  • Operator: 4.0.7
  • Operand: 4.0.7

The 4.0.7 release of Decision Optimization includes the following features and updates:

Deprecation notice for Python 3.7 and 3.8
Python 3.7 and 3.8 is deprecated and will be removed in an upcoming refresh. Start using Python 3.9.

Version 4.0.7 of the Decision Optimization service includes various fixes.

For details, see What's new and changed in Decision Optimization.

Related documentation:
Decision Optimization
EDB Postgres
  • CASE: 4.0.7
  • Operator:
    • PostgreSQL (third-party): 1.13.0
    • EDB Postgres (IBM) 4.0.7
  • Operand: 12.10 and 13.6

Version 12.10 and 13.6 of the EDB Postgres service includes various fixes.

Related documentation:
Execution Engine for Apache Hadoop
  • CASE: 4.0.8
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Execution Engine for Apache Hadoop service includes various fixes.

For details, see What's new and changed in Execution Engine for Apache Hadoop.

Related documentation:
Execution Engine for Apache Hadoop
IBM Match 360
  • CASE: 1.0.191
  • Operator: 1.1.215
  • Operand: 1.1.215

The 1.1.215 release of IBM Match 360 includes the following features and updates:

Gain new insight by matching records on more than one entity type
Each record in your data can now be matched to multiple entity types. Each entity type that you define has its own matching algorithm for you to configure, tune, and run to create new types of entities. You can now run multiple matching algorithms on your record data to gain insight and discover connections within your data.

For example, in addition to resolving person record data into person entities by using a matching algorithm for deduplication, you can also resolve the same person data into meaningful new types of entities such as households or families.

For details, see Matching your data to create master data entities.

Predefined scaling options
Now you can use predefined deployment sizes to scale your IBM Match 360 deployment. Choose the size that meets your needs. For details, see Scaling services.

Version 1.1.2150 of the IBM Match 360 service includes various fixes.

For details, see What's new and changed in IBM Match 360.

Related documentation:
IBM Match 360 with Watson
MongoDB
  • CASE: 4.0.7
  • Operator:
    • MongoDB Enterprise (third-party): 1.15.0
    • MongoDB (IBM) 4.0.7
  • Operand: 4.2.6 and 4.4.0

Versions 4.2.6 and 4.4.0 of the MongoDB service include various fixes.

Related documentation:
MongoDB
OpenPages
  • CASE: 2.1.4+20220304.003659.82040314
  • Operator: 8.204.4
  • Operand: 8.204.4

Version 8.204.4 of the OpenPages service includes various fixes.

Related documentation:
OpenPages
Planning Analytics
  • CASE: 4.0.70508
  • Operator: 4.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
RStudio Server with R 3.6
  • CASE: 1.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the RStudio Server with R 3.6 service includes various fixes.

For details, see What's new and changed in RStudio Server with R 3.6.

Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • CASE: 1.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the SPSS Modeler service includes various fixes.

For details, see What's new and changed in SPSS Modeler.

Related documentation:
SPSS Modeler
Voice Gateway
  • CASE: 1.0.5
  • Operator: 1.0.5
  • Operand: 1.0.7

Version 1.0.7 of the Voice Gateway service includes various fixes.

Related documentation:
Voice Gateway
Watson Assistant
  • CASE: 4.0.7
  • Operator: 4.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Watson Assistant service includes security fixes and the following updates:

Enhanced irrelevance detection update
We revised the enhanced irrelevance detection classification algorithm. Now, enhanced irrelevant detection uses any provided counterexamples in training. This change does not affect workspaces without counterexamples. This update applies to the following languages: English, French, Spanish, Italian, and the universal language model.
Fuzzy matching updates
Interactions between the stemming and misspelling fuzzy matching features are not allowed. Improve fuzzy matching behavior by limiting the interactions between different fuzzy matching features. This change applies to the following languages: English, French, German, and Czech.
Related documentation:
Watson Assistant
Watson Discovery
  • CASE: 4.0.7
  • Operator: 4.0.7
  • Operand: 4.0.7
The 4.0.7 release of Watson Discovery includes features and updates.
IBM Cloud Block Storage is now supported
When you install Watson Discovery, you can specify IBM Cloud Block Storage Gold tier (ibmc-block-gold) as your storage class.

Version 4.0.7 of the Watson Discovery service includes various fixes.

Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Watson Knowledge Catalog service includes various fixes.

For details, see What's new and changed in Watson Knowledge Catalog.

Related documentation:
Watson Knowledge Catalog
Watson Knowledge Studio
  • CASE: 4.0.7
  • Operator: 4.0.7
  • Operand: 4.0.7

The 4.0.7 release of Watson Knowledge Studio includes the following features and updates:

IBM Cloud Block Storage is now supported
When you install Watson Knowledge Studio, you can specify IBM Cloud Block Storage Gold tier (ibmc-block-gold) as your storage class.

Version 4.0.7 of the Watson Knowledge Studio service includes various fixes.

Related documentation:
Watson Knowledge Studio
Watson Machine Learning
  • CASE: 4.0.8
  • Operator: 1.1.6
  • Operand: 4.0.7

The 4.0.7 release of Watson Machine Learning includes the following features and updates:

Support for new data sources for AutoAI experiments
Train your AutoAI experiments with data stored in Oracle, Teradata, or Google BigQuery databases.
Better insights into your deployed assets
The Deployments dashboard now provides visual indicators for deprecated assets so you know at a glance when assets need updating.
New way to deploy code packages
You can now browse for code packages from a deployment space and create a deployment job for the package without having to use CPDCTL.
Federated learning now supports Python 3.9
Use a more secure version of Python for your Federated Learning experiments with these frameworks:
  • Tensorflow 2.7
  • PyTorch 1.10
  • Scikit-learn 1.0.2

Python 3.8 and all associated frameworks are being deprecated. Upgrade your Federated Learning experiments to Python 3.9 and implement fully supported frameworks. For more information, see Frameworks and Python version compatibility.

Version 4.0.7 of the Watson Machine Learning service includes various fixes.

Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.7
  • Operator: 1.0.7
  • Operand: 2.3.7

The 2.3.7 release of Watson Machine Learning Accelerator includes the following features and updates:

Give additional users administrative access to Watson Machine Learning Accelerator
Previously, only users who had the Administer platform permission on Cloud Pak for Data could administer the Watson Machine Learning Accelerator service. Starting in 2.3.7, you can assign specific platform users the Watson Machine Learning Accelerator Administrator role. For details, see Add users to the Watson Machine Learning Accelerator instance.

Version 2.3.7 of the Watson Machine Learning Accelerator service includes various fixes.

Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.5.2
  • Operator: 1.5.2
  • Operand: 4.0.7

The 4.0.7 release of Watson OpenScale includes the following features and updates:

Upload pre-scored test data
Now you can upload test data that was already scored for a model deployment so that Watson OpenScale does not spend resources scoring the test data a second time. Prediction and probability data are uploaded with the test data. For more information, see Manage model risk.
New fairness metrics and explanation algorithms
You can now use Watson OpenScale Python client version 3.0.14 or later to generate new fairness metrics and additional algorithms to explain model transactions. For more information, see Metrics computation using Python SDK.

Version 4.0.7 of the Watson OpenScale service includes various fixes.

Related documentation:
Watson OpenScale
Watson Speech to Text
  • CASE: 4.0.8
  • Operator: 4.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Watson Speech to Text service includes various fixes.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.7
  • Operator: 2.0.7
  • Operand: 4.0.7

The 4.0.7 release of Watson Studio includes the following features and updates:

Deprecation notice for Python 3.8
Python 3.8 is deprecated and will be removed in an upcoming refresh. Start using environments with a newer version of Python, which contains newer versions of popular machine learning libraries.
Spark 2.4 has been removed
Spark 2.4 has been removed in this release. Use Spark 3.0 for any Spark applications that you develop.

Version 4.0.7 of the Watson Studio service includes various fixes.

For details, see What's new and changed in Watson Studio.

Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Watson Studio Runtimes service includes various fixes.

Related documentation:
Jupyter Notebook runtimes for Watson Studio
Watson Text to Speech
  • CASE: 4.0.8
  • Operator: 4.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Watson Text to Speech service includes various fixes.

Related documentation:
Watson Text to Speech

Refresh 6 of Version 4.0

Released: February 2022

This refresh of Cloud Pak for Data includes new features and enhancements for services such as DataStage, Db2, and Watson Machine Learning. In addition, many services that use Python libraries include support for Python 3.9.

Software Version What does it mean for me?
Cloud Pak for Data platform

Platform operator: Not refreshing

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.11.0
  • Operator:
    • Common services: 3.15.0
    • Zen: 1.5.0
  • Operand:
    • Common services: 3.15.0
    • Zen: 4.4.0

Refresh 6 of Version 4.0 of the Cloud Pak for Data platform includes various fixes.

Related documentation:
Cloud Pak for Data common core services
  • CASE: 1.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

Version 4.0.6 of the common core services includes various fixes.

For details, see What's new and changed in the common core services.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Cloud Pak for Data scheduling service
  • CASE: 1.3.2
  • Operator: 1.3.2
  • Operand: 1.3.2

Version 1.3.2 of the scheduling service includes various fixes.

For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Analytics Engine Powered by Apache Spark includes the following features and updates:

Python 3.9 is now available
When you run your Spark applications in Analytics Engine Powered by Apache Spark, you can now choose to run them with Python 3.9.
Deprecation notice for Python 3.7
Python 3.7 is deprecated and will be removed in an upcoming release. Use Python 3.9 in the Jupyter notebooks that you develop.
Deprecation notice for Spark 2.4
Spark 2.4 is deprecated and will be removed in an upcoming release. Use Spark 3.0 for any Spark applications that you develop.

Version 4.0.6 of the Analytics Engine Powered by Apache Spark includes various fixes.

For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.8
  • Operator: 4.0.6
  • Operand: 4.0.6

The 4.0.6 release of Cognos Analytics includes the following features and updates:

Updated software version for Cognos Analytics

This release provides software version 11.1.7 Fix Pak 4 IF 8 of Cognos Analytics.

Version 4.0.6 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Cognos Dashboards includes the following features and updates:

Lots of new features for your dashboards
Cognos Dashboards includes features such as:
  • New dashboard customizations are now available including new borders, grids, labels, and legends options
  • You can now use new visualization capabilities, such as donut visualizations and 3D hexbin maps
  • You can now export your data to CSV files
Screen shot of Cognos Dashboards.

To see all the new features in Cognos Dashboards, see What's new and changed in Cognos Dashboards.

Version 4.0.6 of the Cognos Dashboards service includes various fixes.

For details, see What's new and changed in Cognos Dashboards.

Related documentation:
Cognos Dashboards
Data Privacy
  • CASE: 4.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

Version 4.0.6 of the Data Privacy service includes various fixes.

For details, see What's new and changed in Data Privacy.

Related documentation:
Data Privacy
Data Refinery
  • CASE: 1.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Data Refinery includes the following features and updates:

Data Refinery supports refining SAS files with the sas7bdat extension
You can now refine SAS data assets that use the .sas7bdat extension. SAS files are supported as source files only. You cannot use SAS files as a target of a Data Refinery flow.

For the full list of file types that are supported by Data Refinery, see Refining data.

Performance enhancements for GUI operations in flows that use large data assets
The following GUI operations are enhanced to work faster on large data assets:
  • Convert column type to Integer when you specify a thousands grouping symbol (comma, dot, or custom)
  • Convert column type to Decimal with a comma decimal marker or when you specify a thousands grouping symbol (comma, dot, or custom)
  • Text > Trim quotes
Important: If you have existing Data Refinery flows that use these GUI operations, you must update the flows. To update a flow, open it, save it, and run a job for the flow. For details, see Managing Data Refinery flows.

For information about the operations, see GUI operations in Data Refinery.

Version 4.0.6 of the Data Refinery service includes various fixes.

For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
Data Virtualization
  • CASE: 1.7.6
  • Operator: 1.7.6
  • Operand: 1.7.6
The 1.7.6 release of Data Virtualization includes the following features and updates:
Updated guidance for OpenShift Container Storage users
Starting with Data Virtualization 1.7.6, the recommended storage class for OpenShift Container Storage is ocs-storagecluster-ceph-rbd.
  • If you are installing Data Virtualization 1.7.6 or upgrading to Data Virtualization 1.7.6 from IBM Cloud Pak for Data version 3.5, specify the ocs-storagecluster-ceph-rbd storage class during installation or upgrade.
  • If you are upgrading to Data Virtualization 1.7.6 from a previous refresh of Cloud Pak for Data 4.0, continue to use ocs-storagecluster-cephfs. You cannot change the storage that is used in an existing deployment.

Version 1.7.6 of the Data Virtualization service includes various fixes.

For details, see What's new and changed in Data Virtualization.

Related documentation:
Data Virtualization
DataStage
  • CASE: 4.0.7
  • Operator: 1.0.4
  • Operand: 4.0.6

The 4.0.6 release of DataStage includes the following features and updates:

New connectors and stages
You can now include data from these data sources in your DataStage flows:
  • Amazon RDS for Oracle
  • Box
  • Compose for MySQL

For more information, see DataStage connectors.

The following stages are now available for you to use in DataStage flows:

  • Combine Records
  • Make Subrecords
  • Make Vector
  • Promote Subrecords
  • Split Subrecord
  • Split Vector

For more information, see DataStage stages.

Version 4.0.6 of the DataStage service includes various fixes.

For details, see What's new and changed in DataStage.

Related documentation:
DataStage
Db2
  • CASE: 4.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

The 4.0.8 release of Db2 includes the following features and updates:

Save space by compressing your backup images
When you install Db2, you can specify that the service enable compression of backup images. Backup compression can help reduce the storage cost in your database environment. If you want to compress backup images, you must specify enableBackupCompression: Yes in the Db2 custom resource.

Version 4.0.8 of the Db2 service includes various fixes.

Related documentation:
Db2
Db2 Big SQL
  • CASE: 7.2.6
  • Operator: 7.2.6
  • Operand: 7.2.6

The 7.2.6 release of Db2 Big SQL includes the following features and updates:

Connect to more Hadoop clusters
You can now connect Db2 Big SQL to Hadoop clusters that are secured with Kerberos even when the Kerberos configuration is not managed by the Cloudera cluster manager server. For details, see Connecting Db2 Big SQL to a Hadoop cluster with a manually managed Kerberos configuration.
Updated guidance for OpenShift Container Storage users
Starting with Db2 Big SQL 7.2.6, the recommended storage class for OpenShift Container Storage is ocs-storagecluster-ceph-rbd.
  • If you are installing Db2 Big SQL 7.2.6 or upgrading to Db2 Big SQL 7.2.6 from IBM Cloud Pak for Data version 3.5, specify the ocs-storagecluster-ceph-rbd storage class during installation or upgrade.
  • If you are upgrading to Db2 Big SQL 7.2.6 from a previous refresh of Cloud Pak for Data 4.0, continue to use ocs-storagecluster-cephfs. You cannot change the storage that is used in an existing deployment.

Version 7.2.6 of the Db2 Big SQL service includes various fixes.

Related documentation:
Db2 Big SQL
Db2 Data Gate
  • CASE: 4.0.6
  • Operator: 2.0.6
  • Operand: 2.0.6

Version 2.0.6 of the Db2 Data Gate service includes various fixes.

For details, see What's new and changed in Db2 Data Gate.

Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • CASE: 4.0.6
  • Operator: 1.0.5
  • Operand: 4.0.6

Version 4.0.6 of the Db2 Data Management Console service includes various fixes.

For details, see What's new and changed in Db2 Data Management Console.

Related documentation:
Db2 Data Management Console
Db2 Warehouse
  • CASE: 4.0.8
  • Operator: 1.0.8
  • Operand: 4.0.8

The 4.0.8 release of Db2 Warehouse includes the following features and updates:

Save space by compressing your backup images
When you install Db2 Warehouse, you can specify that the service enable compression of backup images. Backup compression can help reduce the storage cost in your database environment. If you want to compress backup images, you must specify enableBackupCompression: Yes in the Db2 Warehouse custom resource.

Version 4.0.8 of the Db2 Warehouse service includes various fixes.

Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.6
  • Operator: 4.0.6
  • Operand: 4.0.6

The 4.0.6 release of Decision Optimization includes the following features and updates:

New Python version 3.9
Python 3.9 is now supported for building and deploying Decision Optimization models. The default version remains 3.8. For details, see Decision Optimization notebooks. To use Python 3.9 in your Decision Optimization experiment, select this version in the Run configuration parameters drop-down menu. If you do not select a Python version, the default version 3.8 is used. For details, see Run configuration.

To modify or redeploy any existing deployed Python or Modeling Assistant models to use Python 3.9, use the oaas.docplex.python parameter to specify Python version 3.9.

New Python client library
When you upgrade from Cloud Pak for Data 3.5, the old Python client library dd-scenario is replaced by the decision_optimization_client Python library. You must update any 3.5 notebooks that you still plan to use, if they use the old Python client library.

Version 4.0.6 of the Decision Optimization service includes various fixes.

For details, see What's new and changed in Decision Optimization.

Related documentation:
Decision Optimization
EDB Postgres
  • CASE: 4.0.6
  • Operator:
    • PostgreSQL (third-party): 1.12.0
    • EDB Postgres (IBM) 4.0.6
  • Operand: 12.9 and 13.5

The 12.9 and 13.5 release of EDB Postgres includes the following features and updates:

Custom username and password creation

You can now choose to generate custom user names and passwords for each EDB Postgres instance. Credentials can still be automatically generated, if preferred. For details, see Creating a custom EDB Postgres user name and password.

Version 12.9 and 13.5 of the EDB Postgres service includes various fixes.

For details, see What's new and changed in EDB Postgres.

Related documentation:
Execution Engine for Apache Hadoop
  • CASE: 4.0.7
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Execution Engine for Apache Hadoop includes the following features and updates:

Apache Livy 0.8.0 is now supported

When you use Spark 3.0 with Execution Engine for Apache Hadoop, you can run Apache Livy 0.8.0. When you run Livy 0.8.0, you can create Livy sessions with Python 3.8, which you could not do with Livy 0.7.0.

Version 4.0.6 of the Execution Engine for Apache Hadoop service includes various fixes.

For details, see What's new and changed in Execution Engine for Apache Hadoop.

Related documentation:
Execution Engine for Apache Hadoop
IBM Match 360
  • CASE: 1.0.182
  • Operator: 1.1.188
  • Operand: 1.1.188

Version 1.1.1880 of the IBM Match 360 service includes various fixes.

For details, see What's new and changed in IBM Match 360.

Related documentation:
IBM Match 360 with Watson
Informix
  • CASE:
    • Install: 4.0.5
    • Deployment: 4.0.5
  • Operator:
    • Install: 4.1.0
    • Deployment: 4.1.0
  • Operand: 4.1.0
Restriction: This refresh of Informix is not supported on Red Hat OpenShift Container Platform Version 4.6.

The 4.1.0 release of Informix includes the following features and updates:

Security context enhancement
Informix no longer requires the privileged security context constraint (SCC). Informix can now run with the restricted SCC.

Informix still requires the anyuid SCC when running with the pre-allocated (non-root) userid in the pods.

New ingress network policy
The pods of the Informix instance will now run with an ingress network policy that limits incoming network packets to the ports on which Informix is expecting connections.

Version 4.1.0 of the Informix service includes various fixes.

Related documentation:
Informix
OpenPages
  • CASE: 2.1.3+20220205.003421.82040223
  • Operator: 8.204.3
  • Operand: 8.204.3

Version 8.204.3 of the OpenPages service includes various fixes.

Related documentation:
OpenPages
Planning Analytics
  • CASE: 4.0.60476
  • Operator: 4.0.6
  • Operand: 4.0.6

Version 4.0.6 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
RStudio Server with R 3.6
  • CASE: 1.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

Version 4.0.6 of the RStudio Server with R 3.6 service includes various fixes.

For details, see What's new and changed in RStudio Server with R 3.6.

Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • CASE: 1.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of SPSS Modeler includes the following features and updates:

New scripting documentation
Although scripting or coding isn't required to use SPSS Modeler, scripting can be a powerful tool for automating processes in the user interface. Scripts can perform the same types of actions that you perform with a mouse or a keyboard, and you can use them to automate tasks that would be highly repetitive or time consuming to perform manually.

A new scripting and automation guide describes this feature in detail. You can use this valuable guide to quickly find information such as the following, plus much more:

  • Details about all available node properties
  • Scripting tips
  • Information about the scripting API
  • How to use scripting to run a flow
  • How to use scripting to reference, create, link and unlink, import, replace, or delete nodes
  • Script examples
New data connections are available
You can now create connections for the following data sources and use them in your SPSS Modeler flows. For more information, see Supported data sources for SPSS Modeler.
  • Databases for DataStax (import and export supported)
  • Exasol (import and export supported; SQL pushback supported with a custom image)
  • SQL Query (import supported)
Exasol connections are now supported
When you save a model, a new Software specifications drop-down is now available. If you use Exasol data, you can use this option to select a custom software specification that supports Exasol in SPSS Modeler. Exasol data is supported only in batch deployment jobs at this time.
To populate the new drop-down, see the following information about creating a custom flow session image and a deployment runtime image with the Exasol ODBC driver:

Version 4.0.6 of the SPSS Modeler service includes various fixes.

For details, see What's new and changed in SPSS Modeler.

Related documentation:
SPSS Modeler
Watson Assistant
  • CASE: 4.0.6
  • Operator: 4.0.6
  • Operand: 4.0.6

Version 4.0.6 of the Watson Assistant service includes security fixes and the following updates:

Configure webhook timeout
From the Pre-message webhook and Post-message webhook configuration pages, you can configure the webhook timeout length from a minimum of 1 second to a maximum of 30 seconds.
Rich response types

Your assistant can now send responses that include elements such as audio, video, or embedded iframe content.

Analytics overview change
To improve reliability, the Values column has been removed from Top entities on the Analytics Overview page. Top Entities continues to provide counts of entity types.
Dialog skill "Try it out" improvements
For dialog skills, the Try it out pane now uses the React UI framework similar to the rest of the Watson Assistant user interface. You shouldn't see any change in behavior or functionality. As a part of the update, dialog skill error handling has been improved within the "Try it out" pane.
Disambiguation feature updates
The dialog skill disambiguation feature now includes improved features:
  • Increased control: The frequency and depth of disambiguation can now be controlled by using the sensitivity parameter in the workspace API. There are 5 levels of sensitivity:
    • high
    • medium_high
    • medium
    • medium_low
    • low

    The default (auto) is medium_high if this option is not set.

  • More predictable: The new disambiguation feature is more stable and predictable. The choices shown may sometimes vary slightly to enable learning and analytics, but the order and depth of disambiguation is largely stable.

These new features may affect various metrics, such as disambiguation rate and click rates, as well as influence conversation-level key performance indicators such as containment.

If the new disambiguation algorithm works differently than expected for your assistant, you can adjust it using the sensitivity parameter in the update workspace API.

Related documentation:
Watson Assistant
Watson Discovery
  • CASE: 4.0.6
  • Operator: 4.0.6
  • Operand: 4.0.6

The 4.0.6 release of Watson Discovery includes the following features and updates:

Multitenancy is now supported

An administrator can now create up to 10 instances of the Discovery service per deployment, which means that more teams can work on discrete Discovery projects at the same time.

Simpler installation and management of custom connectors
The manage_custom_crawler.sh script was improved to make it easier for you to install and manage your custom connectors in a multitenant environment. For details, see Installing a custom Cloud Pak for Data connector.

For more information about changes in Watson Discovery, see the Watson Discovery release notes.

Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Watson Knowledge Catalog includes the following features and updates:

Access more data with new connection types
In Watson Knowledge Catalog, you can now work with data from these data sources:
  • Generic S3 (Use to connect to a storage service that is compatible with the Amazon S3 API)
  • Exasol
Data Scientist role has Access governance artifacts permission
With the Access governance artifacts permission, data scientists can see the details of governance artifacts that are assigned to assets to better understand the data. For details, see Predefined roles and permissions.
Keeping catalog names unique
When you create a catalog in the Create a catalog page, you must now use a unique name. Unique catalog names will avoid ambiguity problems and sync errors. If you need to use a duplicate name for a catalog, use the API to rename or create a catalog.
Generating reports on Watson Knowledge Catalog data
Now you can get insights into your catalogs, projects, and governance artifacts by setting up reporting for Watson Knowledge Catalog. The data is sent to an external database where you can run SQL queries to generate reports. For details on configuring the reporting, see Reporting on Watson Knowledge Catalog data.
Enhanced linguistic matching in quick scan
In quick scan, term assignment based on linguistic name matching now provides better results because the longest common substrings of term and asset names are considered.

Version 4.0.6 of the Watson Knowledge Catalog service includes various fixes.

For details, see What's new and changed in Watson Knowledge Catalog.

Related documentation:
Watson Knowledge Catalog
Watson Machine Learning
  • CASE: 4.0.7
  • Operator: 1.1.5
  • Operand: 4.0.6

The 4.0.6 release of Watson Machine Learning includes the following features and updates:

Edit hardware specifications for online deployments
You can now update the hardware specification for some online deployments to allocate computing resources to the deployment. For details, see Creating an online deployment.
Support for new data sources for training and deploying AutoAI experiments
Expanded support for connecting to data in popular databases, including Datastax and Exasol, for training and deployment. For details, see:
Use the latest, more secure frameworks for machine learning
To provide you with more secure frameworks, older software specifications based on Python 3.7 are deprecated and new specifications built on Python 3.9 are available. Additionally, Spark 2.4 is removed, with full support available for Spark 3.0. For details on additions, removals, and deprecations, see Software specifications.
Use storage volumes with your Shiny app deployments
You can now access log files and large data files of Shiny apps with default auto mounting of storage volume connections you created in a project or space. Users can now read and write files from the deployed Shiny app. Cloud Pak for Data also supports disabling auto mount and setting individual mount access via the API. For details, see Creating Shiny app deployments.
Updates to Federated Learning frameworks and API
  • The Federated Learning module is now part of the Python client for Watson Machine Learning. All API functions that contain ibmfl will be removed in a future release. Update the Watson Machine Learning module and the party connector script to the latest version.
  • Scikit-learn 1.0.2 is now a supported framework for Federated Learning training.
  • Python 3.7 is deprecated and will be removed in a future release. Update to Python 3.8 to continue using Federated Learning. Python 3.9 is not supported for training but is supported for deploying models that use the Python 3.9 software spec. For details, see Frameworks and Python version compatibility.
Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.6
  • Operator: 1.0.6
  • Operand: 2.3.6

The 2.3.6 release of Watson Machine Learning Accelerator includes the following features and updates:

Use the latest deep learning frameworks
Watson Machine Learning Accelerator now supports the following deep learning libraries based on Python 3.9:
  • TensorFlow 2.7.0
  • PyTorch 1.10.1
  • NVIDIA CUDA Toolkit 11.2.2.
Support for Python 3.9
When you install Watson Machine Learning Accelerator, the service now uses Python 3.9.7 for running deep learning frameworks.

If you are upgrading Watson Machine Learning Accelerator, make sure to update and test your models to use the latest supported frameworks for Python 3.9.7.

Version 2.3.6 of the Watson Machine Learning Accelerator service includes various fixes.

Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.5.1
  • Operator: 1.5.1
  • Operand: 4.0.6

The 4.0.6 release of Watson OpenScale includes the following features and updates:

Expanded authentication options for custom machine learning engines
In addition to basic authentication, you can now authenticate by using API keys if you have custom machine learning engines.
New usability and performance features
Support has been added through the UI and API for these new features:
  • setting a new database password through the UI
  • defining multiple metric threshold for Quality monitor
  • defining threshold for data accuracy in Drift monitor
  • publishing OpenScale metrics to OpenPages objects of type "deployment"
  • assigning group level access permissions to an OpenScale instance
  • allowing users to specify max_records to process during Quality and Drift evaluation
  • processing large datasets in feedback/quality monitoring
  • configuring a batch deployed python function as a Custom Metric Provider
Related documentation:
Watson OpenScale
Watson Speech to Text
  • CASE: 4.0.7
  • Operator: 4.0.6
  • Operand: 4.0.6

Version 4.0.6 of the Watson Speech to Text service includes various fixes.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.6
  • Operator: 2.0.6
  • Operand: 4.0.6

The 4.0.6 release of Watson Studio includes the following features and updates:

Access more data with new connection types
In Watson Studio, you can now work with data from these data sources:
  • Generic S3 (Use to connect to a storage service that is compatible with the Amazon S3 API)
  • Exasol
Support for Python 3.9
You can now use environments with Python 3.9 when working on notebooks and scripts. The Python 3.9 environment is based on the IBM Runtimes 22.1 release. For information on the IBM Runtimes 22.1 release and the included environments for Python 3.9, see Environments.
Deprecation notice for Python 3.7
Python 3.7 is deprecated and will be removed in an upcoming release. Start using environments with a newer version of Python, which contains newer versions of popular machine learning libraries.

Version 4.0.6 of the Watson Studio service includes various fixes.

For details, see What's new and changed in Watson Studio.

Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Watson Studio Runtimes includes the following features and updates:

Support for Python 3.9
You can now use environments with Python 3.9 when working on notebooks and scripts. All Python 3.9 environments are based on the IBM Runtimes 22.1 release. Python 3.9 can be used in notebooks and JupyterLab and in combination with Spark 3.0. For information on the IBM Runtimes 22.1 release and the included environments for Python 3.9, see Environments.
Support for Python 3.9 for GPU environments
To use GPU computing power with Python 3.9, you can install the Jupyter Notebooks with Python 3.9 for GPU service. For details, see Installing Jupyter Notebooks with Python 3.9 for GPU.
Manual installation and uninstallation of Python 3.7
Python 3.7 is deprecated and will be removed in an upcoming release.

If you are installing Watson Studio Runtimes for the first time, and you need Python 3.7, you have to install Python 3.7 manually. For details, see Installing Jupyter Notebooks for Python 3.7.

If you upgrade from a previous release of Watson Studio Runtimes, your Python 3.7 and Python 3.8 version are updated with any included security fixes and not removed. You can manually uninstall Python 3.7 if you don't want to use it. For details, see Uninstalling Jupyter Notebooks for Python 3.7.

Related documentation:
Jupyter Notebook runtimes for Watson Studio
Watson Text to Speech
  • CASE: 4.0.7
  • Operator: 4.0.6
  • Operand: 4.0.6

Version 4.0.6 of the Watson Text to Speech service includes various fixes.

Related documentation:
Watson Text to Speech

Refresh 5 of Version 4.0

Released: January 2022

This refresh of Cloud Pak for Data is focused primarily on defect and security fixes. However, several services include new features and updates. For example, Db2 Data Management Console now includes support for Power hardware.

Software Version What does it mean for me?
Cloud Pak for Data platform

Platform operator:

  • CASE: 2.0.10
  • Operator: 2.0.6

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.10.1
  • Operator:
    • Common services: 3.14.1
    • Zen: 1.4.2
  • Operand:
    • Common services: 3.14.1
    • Zen: 4.3.2

Refresh 5 of Version 4.0 of the Cloud Pak for Data platform includes various fixes.

Related documentation:
Cloud Pak for Data common core services
  • CASE: 1.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the common core services includes various fixes.

For details, see What's new and changed in the common core services.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Analytics Engine Powered by Apache Spark
  • CASE: 4.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Analytics Engine Powered by Apache Spark includes various fixes.

For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.7
  • Operator: 4.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Cognos Dashboards service includes various fixes.

Related documentation:
Cognos Dashboards
Data Privacy
  • CASE: 4.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Data Privacy service includes various fixes.

For details, see What's new and changed in Data Privacy.

Related documentation:
Data Privacy
Data Refinery
  • CASE: 1.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Data Refinery service includes various fixes.

For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
Data Virtualization
  • CASE: 1.7.5
  • Operator: 1.7.5
  • Operand: 1.7.5

Version 1.7.5 of the Data Virtualization service includes various fixes.

For details, see What's new and changed in Data Virtualization.

Related documentation:
Data Virtualization
DataStage
  • CASE: 4.0.6
  • Operator: 1.0.3
  • Operand: 4.0.5

Version 4.0.5 of the DataStage service includes various fixes.

For details, see What's new and changed in DataStage.

Related documentation:
DataStage
Db2
  • CASE: 4.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Db2 service includes various fixes.

Related documentation:
Db2
Db2 Big SQL
  • CASE: 7.2.5
  • Operator: 7.2.5
  • Operand: 7.2.5

The 7.2.5 release of Db2 Big SQL includes the following features and updates:

Hadoop cluster support
Db2 Big SQL Version 7.2.5 can connect to Hadoop clusters on Cloudera Data Platform (CDP) Private Cloud Base 7.1.7 only.

Version 7.2.5 of the Db2 Big SQL service includes various fixes.

Related documentation:
Db2 Big SQL
Db2 Data Gate
  • CASE: 4.0.5
  • Operator: 2.0.5
  • Operand: 2.0.5

Version 2.0.5 of the Db2 Data Gate service includes various fixes.

For details, see What's new and changed in Db2 Data Gate.

Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • CASE: 4.0.5
  • Operator: 1.0.4
  • Operand: 4.0.5

The 4.0.5 release of Db2 Data Management Console includes the following features and updates:

Support for Power hardware
You can now install Db2 Data Management Console on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 or Power 10 hardware. However, the service does not take advantage of Power 10 optimizations.

Version 4.0.5 of the Db2 Data Management Console service includes various fixes.

For details, see What's new and changed in Db2 Data Management Console.

Related documentation:
Db2 Data Management Console
Db2 Warehouse
  • CASE: 4.0.7
  • Operator: 1.0.7
  • Operand: 4.0.7

Version 4.0.7 of the Db2 Warehouse service includes various fixes.

Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.5
  • Operator: 4.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Decision Optimization service includes various fixes.

For details, see What's new and changed in Decision Optimization.

Related documentation:
Decision Optimization
Execution Engine for Apache Hadoop
  • CASE: 4.0.6
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Execution Engine for Apache Hadoop service includes various fixes.

For details, see What's new and changed in Execution Engine for Apache Hadoop.

Related documentation:
Execution Engine for Apache Hadoop
IBM Match 360
  • CASE: 1.0.177
  • Operator: 1.1.175
  • Operand: 1.1.175

Version 1.1.1750 of the IBM Match 360 service includes various fixes.

For details, see What's new and changed in IBM Match 360.

Related documentation:
IBM Match 360 with Watson
Informix
  • CASE:
    • Install: 4.0.4
    • Deployment: 4.0.4
  • Operator:
    • Install: 4.0.2
    • Deployment: 4.0.2
  • Operand: 4.0.2

The 4.0.2 release of Informix includes the following features and updates:

New version of Informix
This release of the Informix service runs Informix Version 14.10.FC7W1.

Version 4.0.2 of the Informix service includes various fixes.

Related documentation:
Informix
OpenPages
  • CASE: 2.1.2+20220118.140731.82040128
  • Operator: 8.204.2
  • Operand: 8.204.2

Version 8.204.2 of the OpenPages service includes various fixes.

Related documentation:
OpenPages
Planning Analytics
  • CASE: 4.0.50425
  • Operator: 4.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
Product Master
  • CASE: 1.0.3
  • Operator: 1.0.3
  • Operand: 1.0.3

Version 1.0.3 of the Product Master service includes various fixes.

For details, see What's new and changed in Product Master.

Related documentation:
Product Master
SPSS Modeler
  • CASE: 1.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the SPSS Modeler service includes various fixes.

For details, see What's new and changed in SPSS Modeler.

Related documentation:
SPSS Modeler
Watson Assistant
  • CASE: 4.0.5
  • Operator: 4.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Watson Assistant service includes various fixes.

Related documentation:
Watson Assistant
Watson Discovery
  • CASE: 4.0.5
  • Operator: 4.0.5
  • Operand: 4.0.5
Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Watson Knowledge Catalog service includes various fixes.

For details, see What's new and changed in Watson Knowledge Catalog.

Related documentation:
Watson Knowledge Catalog
Watson Knowledge Studio
  • CASE: 4.0.5
  • Operator: 4.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Watson Knowledge Studio service includes various fixes.

Related documentation:
Watson Knowledge Studio
Watson Machine Learning
  • CASE: 4.0.6
  • Operator: 1.1.4
  • Operand: 4.0.5

Version 4.0.5 of the Watson Machine Learning service includes various fixes.

Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.5
  • Operator: 1.0.5
  • Operand: 2.3.5

The 2.3.5 release of Watson Machine Learning Accelerator includes the following features and updates:

Accessing the Watson Machine Learning Accelerator service console
The URL to the Watson Machine Learning Accelerator console was removed from the Instances page.

For details on accessing the console, see Deep learning with Watson Machine Learning Accelerator.

Version 2.3.5 of the Watson Machine Learning Accelerator service includes various fixes.

Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.5.0
  • Operator: 1.5.0
  • Operand: 4.0.5

Version 4.0.5 of the Watson OpenScale service includes various fixes.

Related documentation:
Watson OpenScale
Watson Speech to Text
  • CASE: 4.0.6
  • Operator: 4.0.5
  • Operand: 4.0.5

The 4.0.5 release of Watson Speech to Text includes features and updates.

For a list of new features in Watson Speech to Text, see the Watson Speech to Text release notes for IBM Cloud Pak for Data.

Version 4.0.5 of the Watson Speech to Text service includes various fixes.

For details, see Watson Speech to Text release notes for IBM Cloud Pak for Data.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.5
  • Operator: 2.0.5
  • Operand: 4.0.5

Version 4.0.5 of the Watson Studio service includes various fixes.

For details, see What's new and changed in Watson Studio.

Related documentation:
Watson Studio
Watson Text to Speech
  • CASE: 4.0.6
  • Operator: 4.0.5
  • Operand: 4.0.5

The 4.0.5 release of Watson Text to Speech includes features and updates.

For a list of new features in Watson Text to Speech, see the Watson Text to Speech release notes for IBM Cloud Pak for Data.

Version 4.0.5 of the Watson Text to Speech service includes various fixes.

For details, see the Watson Text to Speech release notes for IBM Cloud Pak for Data.

Related documentation:
Watson Text to Speech

Refresh 4 of Version 4.0

Released: December 2021

This refresh of Cloud Pak for Data is focused primarily on defect and security fixes. However, several services, such as DataStage, IBM Match 360 with Watson, and Informix include new features. In addition, several services include support for s390x and Power 9 hardware.

Software Version What does it mean for me?
Cloud Pak for Data platform

Platform operator: Not refreshing

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.10.1
  • Operator:
    • Common services: 3.14.1
    • Zen: 1.4.2
  • Operand:
    • Common services: 3.14.1
    • Zen: 4.3.2
Refresh 4 of Version 4.0 of the Cloud Pak for Data platform includes the following features and updates to the control plane:
New method for creating the route to the platform
Cloud Pak for Data now offers two options to create a custom route to the platform. You can use the options separately or in tandem, depending on your needs.

For details, see Changing the route to the platform.

New option to set the install plan on automatically installed operators
Some Cloud Pak for Data services have dependencies that are automatically installed when you install the service. For example, when you install Watson Studio, Watson Studio automatically installs the following dependencies if they are not already available:
  • Common core services
  • Data Refinery

Previously, the operators for these dependencies were created with the automatic install plan (installPlanApproval: Automatic). Starting in Refresh 4 of Version 4.0, you can specify which install plan these operators use.

For details, see Specifying the install plan for operators that are automatically installed by Operand Deployment Lifecycle Manager.

Refresh 4 of Version 4.0 of the Cloud Pak for Data platform includes various fixes.

Related documentation:
Cloud Pak for Data common core services
  • CASE: 1.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4
The 4.0.4 release of the common core services includes changes to support features and updates in Watson Studio and Watson Knowledge Catalog.
Version 4.0.4 of the common core services includes the following features and updates:
Netezza (PureData System for Analytics) connections have a new name
Netezza (PureData System for Analytics) connections are now Netezza Performance Server connections. If you created a Netezza (PureData System for Analytics) connection, the settings remain the same. Only the connection type changed.

Version 4.0.4 of the common core services includes various fixes.

For details, see What's new and changed in the common core services.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Cloud Pak for Data scheduling service
  • CASE: 1.3.1
  • Operator: 1.3.1
  • Operand: 1.3.1

The 1.3.1 release of the scheduling service includes the following features and updates:

The scheduling service has a higher priority
The scheduling service pods now use priority 2000001000 and priority class system-node-critical. This change prevents the cluster from stopping the scheduling service when there are limited resources.

Version 1.3.1 of the scheduling service includes various fixes.

For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.4+20211216.200159.446
  • Operator: 1.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Analytics Engine Powered by Apache Spark includes various fixes.

For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.6
  • Operator: 4.0.4
  • Operand: 4.0.4

The 4.0.4 release of Cognos Analytics includes the following features and updates:

New version of Cognos Analytics
This release of the Cognos Analytics service runs Cognos Analytics Version 11.1.7 FP4.

Version 4.0.4 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Cognos Dashboards service includes various fixes.

Related documentation:
Cognos Dashboards
Data Privacy
  • CASE: 4.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Data Privacy service includes various fixes.

For details, see What's new and changed in Data Privacy.

Related documentation:
Data Privacy
Data Refinery
  • CASE: 1.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Data Refinery service includes various fixes.

For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
DataStage
  • CASE: 4.0.5
  • Operator: 1.0.2
  • Operand: 4.0.4

The 4.0.4 release of DataStage includes the following features and updates:

New stage
DataStage now supports the Excel stage to read data from or write data to Excel files.

For details, see Excel stage.

New connectors
DataStage now supports the following additional connectors:
  • Amazon RDS for MySQL
  • Databases for MongoDB
  • MariaDB
  • MongoDB

Additionally, the ODBC connection now includes the Text data source.

For details, see DataStage connectors.

Enhancements to the Address Verification (AVI) stage
The AVI stage now includes the following enhancements:
Reverse geocoding
You can provide longitude and latitude coordinates to get an estimated address.
Coding Accuracy Support System (CASS) mode
The AVI stage applies CASS rules as defined by the United States Postal Service® (USPS).

CASS rules are used to correct and standardize addresses. The rules add missing address information, such as ZIP codes, cities, and states, to ensure the address is complete.

For more information on the AVI stage, see Address Verification stage.
Project asset support
You can now use the asset browser connector in DataStage to add files of type .csv, .txt, .xlsx, .json, and .xml directly to the canvas of a DataStage flow. When you add these files in this way, DataStage automatically adds the files to the canvas in the form of the appropriate stage or connector, as shown in the following list:
  • .csv and .txt: Sequential file connector
  • .xlsx: Excel stage
  • .json and .xml: Hierarchical stage
Multiple conductor nodes
You can optionally enable dynamic workload management to use multiple conductor nodes to scale DataStage horizontally. Horizontal scaling provides better workload balancing and availability.

For details, see Enabling multiple conductor (PXRuntime) pods in DataStage.

Version 4.0.4 of the DataStage service includes various fixes.

For details, see What's new and changed in DataStage.

Related documentation:
DataStage
Db2
  • CASE: 4.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Db2 includes the following features and updates:

High-speed data replication
High-speed data replication capability for Db2 was announced and is available in Cloud Pak for Data 4.0.4 and 4.0.3. Replication supports continuous availability, data locality, and compliance and regulatory requirements. The replication feature in Db2 provides the ability to fail over and fallback during planned and unplanned outages, with low latency and high-volume throughput. You can protect applications for continuous availability by replicating transactions on the tables that are used by these applications. You can also keep active copies of data in proximity to users, for example allowing east coast clients to access data from an east coast data center, and west coast clients from a west coast data center. For details, see Replication.
New version of Db2
This release of the Db2 service runs Db2 Version 11.5.7.0.

Version 4.0.6 of the Db2 service includes various fixes.

Related documentation:
Db2
Db2 Data Gate
  • CASE: 4.0.4
  • Operator: 2.0.4
  • Operand: 2.0.4

Version 2.0.4 of the Db2 Data Gate service includes various security fixes.

For details, see What's new and changed in Db2 Data Gate.

Related documentation:
Db2 Data Gate
Db2 Warehouse
  • CASE: 4.0.6
  • Operator: 1.0.6
  • Operand: 4.0.6

The 4.0.6 release of Db2 Warehouse includes the following features and updates:

High-speed data replication
High-speed data replication capability for Db2 Warehouse was announced and is available in Cloud Pak for Data 4.0.4 and 4.0.3. Replication supports continuous availability, data locality, and compliance and regulatory requirements. The replication feature in Db2 Warehouse, which is limited to SMP environments, provides the ability to fail over and fallback during planned and unplanned outages, with low latency and high-volume throughput. You can protect applications for continuous availability by replicating transactions on the tables that are used by these applications. You can also keep active copies of data in proximity to users, for example allowing east coast clients to access data from an east coast data center, and west coast clients from a west coast data center. For details, see Replication.
New version of Db2 Warehouse
This release of the Db2 Warehouse service runs Db2 Warehouse Version 11.5.7.0.

Version 4.0.6 of the Db2 Warehouse service includes various fixes.

Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.4
  • Operator: 4.0.4
  • Operand: 4.0.4

The 4.0.4 release of Decision Optimization includes the following features and updates:

Support for Power 9 hardware
You can now install Decision Optimization on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 hardware.

Version 4.0.4 of the Decision Optimization service includes various fixes.

For details, see What's new and changed in Decision Optimization.

Related documentation:
Decision Optimization
Execution Engine for Apache Hadoop
  • CASE: 4.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

The 4.0.4 release of Execution Engine for Apache Hadoop includes the following features and updates:

Support for Power 9 hardware
You can now install Execution Engine for Apache Hadoop on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 hardware.

Version 4.0.4 of the Execution Engine for Apache Hadoop service includes various fixes.

For details, see What's new and changed in Execution Engine for Apache Hadoop.

Related documentation:
Execution Engine for Apache Hadoop
IBM Match 360
  • CASE: 1.0.166
  • Operator: 1.1.167
  • Operand: 1.1.167

The 1.1.167 release of IBM Match 360 includes the following features and updates:

More control over matching
This release provides more control over the matching algorithm by enabling data engineers to select custom attributes and fields for matching consideration.

For details, see Setting up your algorithm and matching your data.

Version 1.1.1670 of the IBM Match 360 service includes various fixes.

For details, see What's new and changed in IBM Match 360.

Related documentation:
IBM Match 360 with Watson
Informix
  • CASE:
    • Install: 4.0.3
    • Deployment: 4.0.3
  • Operator:
    • Install: 4.0.1
    • Deployment: 4.0.1
  • Operand: 4.0.1

The 4.0.1 release of Informix includes the following features and updates:

New version of Informix
This release of the Informix service runs Informix Version 14.10.FC7.
Support for multiple editions
This release of Informix supports the following editions:
  • Developer Edition
  • Workgroup Edition
  • Enterprise Edition
  • Advanced Enterprise Edition

Version 4.0.1 of the Informix service includes various fixes.

For details, see Fix list for Informix Server 14.10.FC7 release.

Related documentation:
Informix
MongoDB
  • CASE: 4.0.4
  • Operator:
    • MongoDB Enterprise (third-party): 1.13.0
    • MongoDB (IBM) 4.0.4
  • Operand: 4.2.6 and 4.4.0

Versions 4.2.6 and 4.4.0 of the MongoDB service include various fixes.

Related documentation:
MongoDB
OpenPages
  • CASE: 2.1.1+20211213.164652.82041218
  • Operator: 8.204.1
  • Operand: 8.204.1

Version 8.204.1 of the OpenPages service includes various fixes.

Related documentation:
OpenPages
Planning Analytics
  • CASE: 4.0.40403
  • Operator: 4.0.4
  • Operand: 4.0.4

The 4.0.4 release of Planning Analytics includes the following features and updates:

Support for upgrade
You can upgrade now Planning Analytics from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5 to Refresh 4 of Version 4.0.

Version 4.0.4 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
RStudio Server with R 3.6
  • CASE: 1.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

The 4.0.4 release of RStudio Server with R 3.6 includes the following features and updates:

Support for Power 9 hardware
You can now install RStudio Server with R 3.6 on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 hardware.

Version 4.0.4 of the RStudio Server with R 3.6 service includes various fixes.

For details, see What's new and changed in RStudio Server with R 3.6.

Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • CASE: 1.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

The 4.0.4 release of SPSS Modeler includes the following features and updates:

Support for Power 9 hardware
You can now install SPSS Modeler on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 hardware.

Version 4.0.4 of the SPSS Modeler service includes various fixes.

For details, see What's new and changed in SPSS Modeler.

Related documentation:
SPSS Modeler
Voice Gateway
  • CASE: 1.0.4
  • Operator: 1.0.4
  • Operand: 1.0.7

A new refresh of Voice Gateway is available on Cloud Pak for Data Version 4.0. This refresh includes various fixes.

Related documentation:
Voice Gateway
Watson Assistant
  • CASE: 4.0.4
  • Operator: 4.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Watson Assistant service includes critical security fixes.

Related documentation:
Watson Assistant
Watson Discovery
  • CASE: 4.0.4
  • Operator: 4.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Watson Discovery service includes various fixes.

Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Watson Knowledge Catalog service includes various fixes.

For details, see What's new and changed in Watson Knowledge Catalog.

Related documentation:
Watson Knowledge Catalog
Watson Knowledge Studio
  • CASE: 4.0.4
  • Operator: 4.0.4
  • Operand: 4.0.4

Version 4.0.4 of the Watson Knowledge Studio service includes various fixes.

Related documentation:
Watson Knowledge Studio
Watson Machine Learning
  • CASE: 4.0.5
  • Operator: 1.1.3
  • Operand: 4.0.4

The 4.0.4 release of Watson Machine Learning includes the following features and updates:

Support for Power 9 hardware
You can now install Watson Machine Learning on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 hardware.

Version 4.0.4 of the Watson Machine Learning service includes various fixes.

For details, see What's new and changed in Watson Machine Learning.

Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.4
  • Operator: 1.0.4
  • Operand: 2.3.4

Version 2.3.4 of the Watson Machine Learning Accelerator service includes various fixes.

Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.4.0
  • Operator: 1.4.0
  • Operand: 4.0.4

The 4.0.4 release of Watson OpenScale includes the following features and updates:

Support on s390x hardware
You can install Watson OpenScale on Red Hat OpenShift Container Platform Version 4.8 clusters running on s390x hardware (IBM Z and LinuxONE.

Version 4.0.4 of the Watson OpenScale service includes various fixes.

Related documentation:
Watson OpenScale
Watson Speech to Text
  • CASE: 4.0.4
  • Operator: 4.0.4
  • Operand: 4.0.4

The 4.0.4 release of Watson Speech to Text includes features and updates.

For a list of new features in Watson Speech to Text, see the Watson Speech to Text release notes for IBM Cloud Pak for Data.

Version 4.0.4 of the Watson Speech to Text service includes various fixes.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.4
  • Operator: 2.0.4
  • Operand: 4.0.4

The 4.0.4 release of Watson Studio includes the following features and updates:

Support for Power 9 hardware
You can now install Watson Studio on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 hardware.

Version 4.0.4 of the Watson Studio service includes various fixes.

For details, see What's new and changed in Watson Studio.

Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.4
  • Operator: 1.0.4
  • Operand: 4.0.4

The4.0.4 release of Watson Studio Runtimes includes the following features and updates:

Support for Power 9 hardware
You can now install Watson Studio Runtimes on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 9 hardware.

Version 4.0.4 of the Watson Studio Runtimes service includes various fixes.

For details, see What's new and changed in Watson Studio Runtimes.

Related documentation:
Jupyter Notebook runtimes for Watson Studio
Watson Text to Speech
  • CASE: 4.0.4
  • Operator: 4.0.4
  • Operand: 4.0.4

The 4.0.4 release of Watson Text to Speech includes features and updates.

For a list of new features in Watson Text to Speech, see the Watson Text to Speech release notes for IBM Cloud Pak for Data.

Version 4.0.4 of the Watson Text to Speech service includes various fixes.

Related documentation:
Watson Text to Speech

Refresh 3 of Version 4.0

Released: November 2021

This refresh of Cloud Pak for Data includes support for connecting to external vaults and support for Power 10 hardware (for specific services). The release includes new features and enhancements for services such as DataStage, OpenPages, and Watson Knowledge Catalog.

This refresh also includes the initial release of the following services on Cloud Pak for Data Version 4.0:
  • Data Privacy
Software Version What does it mean for me?
Cloud Pak for Data platform

Platform operator:

  • CASE: 2.0.8
  • Operator: 2.0.5

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.9.0
  • Operator:
    • Common services: 3.13.0
    • Zen: 1.4.1
  • Operand:
    • Common services: 3.13.0
    • Zen: 4.3.1
Refresh 3 of Version 4.0 of the Cloud Pak for Data platform includes the following features and updates:
Updated guidance for installing and upgrading
If you are pulling images directly from the IBM Entitled Registry, it is strongly recommended that you create catalog sources that pull specific versions of images from the registry, rather than using the IBM Operator Catalog.

The IBM Operator Catalog automatically updates the images in your environment, so it is recommended only for short-term installations, such as proof-of-concept deployments. In production and test environments, where predictability and stability are important, you can create catalogs sources that pull a specific version of the software images from the IBM Entitled Registry.

For details, see:
Managing secrets and vaults
Cloud Pak for Data services use sensitive information, such as database access credentials, API keys, and authentication tokens. You can use secrets and vaults to store this sensitive data.
By default, Cloud Pak for Data includes an internal vault that is accessible through the Credentials and Secrets API. However, a Red Hat OpenShift Container Platform project administrator can enable the vaults interface, which enables users to:
  • Add secrets to the internal vault from the web client
  • Use secrets from an external vault, such as CyberArk or HashiCorp
You can use these secrets when you create connections. However, not all services can use connections that use secrets. The following services support connections that use secrets from vaults:
  • Data Virtualization
  • Decision Optimization
  • Execution Engine for Apache Hadoop
  • OpenPages
  • Watson Knowledge Catalog
  • Watson Studio Runtimes

For information on enabling Cloud Pak for Data to use vaults, see Configuring vault usage.

For information on adding secrets to the internal vault or connecting to external vaults, see Managing secrets and vaults.

Support for Power 10 hardware
You can now install Cloud Pak for Data on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 10 hardware. However, the platform does not take advantage of Power 10 optimizations.

Refresh 3 of Version 4.0 of the Cloud Pak for Data platform includes various fixes.

Related documentation:
Cloud Pak for Data command-line interface (cpd-cli) 10.0.2

Version 10.0.2 of theCloud Pak for Data command-line interface includes various fixes.

Cloud Pak for Data common core services
  • CASE: 1.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

Version 4.0.3 of the common core services includes various fixes.

For details, see What's new and changed in the common core services.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Cloud Pak for Data scheduling service
  • CASE: 1.3.0
  • Operator: 1.3.0
  • Operand: 1.3.0

The 1.3.0 release of the scheduling service includes the following features and updates:

Architectural changes
This release includes several architectural changes:
  • The scheduling service no longer requires a persistent volume to store data
  • The scheduling service no longer uses agent pods
  • Prometheus metrics have been moved to a dedicated deployment, named ibm-cpd-scheduler-metric
Improvements to liveness checks
If either of the following components are unresponsive for too long, they are automatically restarted:
  • Scheduler
  • Parallel Job controller
Support for Power 10 hardware
You can now install the scheduling service on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 10 hardware. However, the service does not take advantage of Power 10 optimizations.

Version 1.3.0 of the scheduling service includes various fixes.

For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The 4.0.3 release of Analytics Engine Powered by Apache Spark includes the following features and updates:

Support on Power 9 hardware
You can install Analytics Engine Powered by Apache Spark on a Red Hat OpenShift Container Platform Version 4.8 cluster running on Power 9 hardware.
Support on s390x hardware
You can run Spark applications in Analytics Engine Powered by Apache Spark on Red Hat OpenShift Container Platform Version 4.8 running on IBM Z and LinuxONE. However, deployments on this hardware support a limited set of features.

For a list of the features that are available on IBM Z and LinuxONE, see Capabilities on IBM Z.

Version 4.0.3 of the Analytics Engine Powered by Apache Spark includes various fixes.

For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.5
  • Operator: 4.0.3
  • Operand: 4.0.3

Version 4.0.3 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The 4.0.3 release of Cognos Dashboards includes the following features and updates:

Support for Power 10 hardware
You can now install Cognos Dashboards on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 10 hardware. However, the service does not take advantage of Power 10 optimizations.

Version 4.0.3 of the Cognos Dashboards service includes various fixes.

Related documentation:
Cognos Dashboards
Data Privacy
  • CASE: 4.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The Data Privacy service is now available on Cloud Pak for Data Version 4.0

Data Privacy enables you to protect sensitive data with features such as:

Advanced masking options
The service includes masking options such as enhanced format-preservation, one-way tokenization, reversible encryption, and relationship integrity in data protection rules. For details, see Advanced data masking.
Define the data that you want to mask
When you create a masking flow, you can choose whether you want to mask a complete copy of the data or a subset of the data. For details, see Creating masking flows.
Self-service access to masked data
You can add masked data to catalogs and collaborative project to enable controlled access to the data For details, see Masking data with Data Privacy.
Related documentation:
Data Privacy
Data Refinery
  • CASE: 1.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The 4.0.3 release of Data Refinery includes the following features and updates:

New user interface for Data Refinery operation steps
Data Refinery introduces a new user interface that makes it easier to work with your data. The Steps panel is consolidated with the operations.
Screen shot of the Steps panel in Data Refinery.

For details, see Refining data.

Reorganized categories for Data Refinery GUI operations
The Data Refinery GUI operations are reorganized into the following categories:
  • CLEANSE
  • COMPUTE
  • ORGANIZE
  • NATURAL LANGUAGE

For details, see GUI operations.

Performance enhancements for GUI operations in Data Refinery flows that use large data assets
The following GUI operations have performance enhancements.
  • Convert column type to Date or to Timestamp

    This also applies if the flow uses the Convert column type operation as the automatic first step in the flow.

  • Remove stop words
  • Replace substring
  • Text > Pad characters
  • Text > Substring
Important: If you have existing Data Refinery flows that use these GUI operations, you must update the flows. To update a flow, open it, save it, and run a job for the flow.

For details, see Managing Data Refinery flows.

Version 4.0.3 of the Data Refinery service includes various fixes.

For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
Data Virtualization
  • CASE: 1.7.3
  • Operator: 1.7.3
  • Operand: 1.7.3
The 1.7.3 release of Data Virtualization includes the following features and updates:
Support for upgrade
You can upgrade Data Virtualization from the following Cloud Pak for Data releases:
Support for vaults

Data Virtualization supports integration with an external vault where your secrets are stored. For more information, see Managing secrets and vaults.

You can use vaults and secrets to store and access credentials securely, and then use them to connect to data sources. For more information, see Using secrets from vaults in connections.

Note: You cannot use credentials that are stored in a vault to connect to data sources that are accessed by using remote connectors in Data Virtualization.
Enhanced data masking

The substitute data masking action in Data Virtualization now supports CHAR and VARCHAR columns of any length.

Integers and decimals now support substitution by displaying a numeric hash of the original value. The resulting hash has from two digits up to the same number of digits as the original value.

For more information, see Masking virtual data.

Tech preview This is a technology preview and is not supported for use in production environments.

Improved handling of String and Binary types in Hive data sources
String and Binary types in Hive data sources now resolve to VARCHAR(32672) and VARBINARY(32672) by default, instead of CLOB and BLOB. A Admin can configure HIVE_MAX_STRING_SIZE and HIVE_MAX_BINARY_SIZE. This update optimizes SQL performance for Hive data sources. For more information, see Supported data sources.

Version 1.7.3 of the Data Virtualization service includes various fixes.

For details, see What's new and changed in Data Virtualization.

Related documentation:
Data Virtualization
DataStage
  • CASE: 4.0.4
  • Operator: 1.0.1
  • Operand: 4.0.3

The 4.0.3 release of DataStage includes the following features and updates:

New stages
DataStage includes new stages, which give you more tools to process your data:
  • Address Verification
  • Hierarchical (XML)
  • Java™ Integration
  • Pivot Enterprise
  • Surrogate Key Generator
For more information, see DataStage stages.
New connectors
DataStage includes new connectors:
  • Google Cloud Pub/Sub
  • MySQL
For more information, see DataStage connectors.
Reusable components
You can create components that you use in projects and in DataStage flows. You create these components in a project, outside of a DataStage flow, which gives you the flexibility to reuse the components in separate places. The components are stored as assets in your project. You can create the following components:
  • Data definitions
  • Parameter sets
  • Subflows
For more information, see the following topics:

Version 4.0.3 of the DataStage service includes various fixes.

For details, see What's new and changed in DataStage.

Related documentation:
DataStage
Db2
  • CASE: 4.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

The 4.0.5 release of Db2 includes the following features and updates:

Support for Power 10 hardware
You can now install Db2 on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 10 hardware. However, the service does not take advantage of Power 10 optimizations.

Version 4.0.5 of the Db2 service includes various fixes.

Related documentation:
Db2
Db2 Big SQL
  • CASE: 7.2.3
  • Operator: 7.2.3
  • Operand: 7.2.3

The 7.2.3 release of Db2 Big SQL includes the following features and updates:

Ability to terminate user applications
Users can now terminate their own applications through the Db2 Data Management Console. Previously, only administrators could terminate user applications. For details, see Working with Db2 Big SQL databases.
Improved user experience for Active Directory
The Db2 Big SQL user interface provides an improved experience when you are connecting to a Hadoop cluster that uses Active Directory as a Kerberos server. For details, see Setting up a connection to a remote data source.
Improved user experience when upgrading on Cloud Pak for Data Version 4.0
If you are running Db2 Big SQL on Cloud Pak for Data Version 4.0, the process to upgrade to the latest refresh of Db2 Big SQL has been streamlined. For details, see Upgrading Db2 Big SQL to a newer refresh on Version 4.0.

Version 7.2.3 of the Db2 Big SQL service includes various fixes.

Related documentation:
Db2 Big SQL
Db2 Data Gate
  • CASE: 4.0.3
  • Operator: 2.0.3
  • Operand: 2.0.3

The 2.0.3 release of Db2 Data Gate includes the following features and updates:

Read request delay
SQL read requests can be postponed to wait for synchronization processes to finish. This ensures that a request fetches current and recently committed data. For more information, see Making queries wait for synchronization updates.
Schema change support
Structural changes to a Db2 for z/OS® table, such as adding a column, are reflected in the corresponding Db2 Data Gate table. This eliminates the need to remove, re-add, and reload the Db2 Data Gate table after a structural change.
Distributed deployment
You are no longer required to create the Db2 Data Gate instance on the same OpenShift node as the target database. You can choose whether the instances co-exist or whether they are distributed. A distributed installation ensures that Db2 Data Gate and the target database do not compete for CPU and memory resources. For more information, see Creating a Db2 Data Gate instance.

Version 2.0.3 of the Db2 Data Gate service includes various fixes.

Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • CASE: 4.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The 4.0.3 release of Db2 Data Management Console includes the following features and updates:

Support for index management
Db2 Data Management Console supports index management, which enables a user to alter, drop, generate DDL, and view the dependencies of database objects.
High-speed replication capability
You can now use the Db2 Data Management Console to set up high-speed data replication on the Db2 and Db2 Warehouse services on Cloud Pak for Data. Use the Db2 Data Management Console to activate replication, create replication sets, and perform operational tasks such as starting and stopping. You can also use the graphical charts to monitor replication latency and throughput.

Version 4.0.3 of the Db2 Data Management Console service includes various fixes.

For details, see What's new and changed in Db2 Data Management Console.

Related documentation:
Db2 Data Management Console
Db2 Warehouse
  • CASE: 4.0.5
  • Operator: 1.0.5
  • Operand: 4.0.5

The 4.0.5 release of Db2 Warehouse includes the following features and updates:

Support for Power 10 hardware
You can now install Db2 Warehouse on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 10 hardware. However, the service does not take advantage of Power 10 optimizations.
Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.3
  • Operator: 4.0.3
  • Operand: 4.0.3

The 4.0.3 release of Decision Optimization includes the following features and updates:

CPLEX® and CPO models support in Decision Optimization experiments (Watson Studio)
You can now import and solve CPLEX and CPO files in Decision Optimization Experiments. For details, see Build model view.
Decision Optimization experiment UI improvements (Watson Studio)
  • You can more easily select how to formulate your model in the Decision Optimization Experiment UI. For details, see Build model.
  • You can now zoom in on the solution graph in the Explore Solution view.
Deprecation notice for CPLEX 12.9
The CPLEX 12.9 model type is deprecated in Watson Studio andWatson Machine Learning and will be removed in an upcoming release. Migrate to the latest version, CPLEX 20.1.

For details on Decision Optimization model types, see Model deployment.

Version 4.0.3 of the Decision Optimization service includes various fixes.

For details, see What's new and changed in Decision Optimization.

Related documentation:
Decision Optimization
EDB Postgres
  • CASE: 4.0.3
  • Operator:
    • PostgreSQL (third-party) 1.9.2
    • EDB Postgres (IBM): 4.0.3
  • Operand: 12.8 and 13.4

In this refresh, the PostgreSQL operator is updated to Version 1.9.2.

Related documentation:
Execution Engine for Apache Hadoop
  • CASE: 4.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

Version 4.0.3 of the Execution Engine for Apache Hadoop service includes various fixes.

For details, see What's new and changed in Execution Engine for Apache Hadoop.

Related documentation:
Execution Engine for Apache Hadoop
IBM Match 360
  • CASE: 1.0.144
  • Operator: 1.1.134
  • Operand: 1.1.134

The 1.1.134 release of IBM Match 360 includes the following features and updates:

Backup and restore
IBM Match 360 now supports restoring a backed up instance to a different cluster. For details, see Backing up and restoring your deployment.
Performance improvements for matching
The IBM Match 360 matching process has been improved to reduce the time it takes to run the matching algorithm.
Support for Spark 3
IBM Match 360 now uses Spark 3 as its processing engine.

Version 1.1.134 of the IBM Match 360 service includes various fixes.

For details, see What's new and changed in IBM Match 360.

Related documentation:
IBM Match 360 with Watson
OpenPages
  • CASE: 2.1.0+20211108.235306.8204136
  • Operator: 8.204.0
  • Operand: 8.204.0

The 8.204.0 release of OpenPages includes the following features and updates:

Integration with Cognos Analytics
You can use Cognos Analytics with OpenPages to:
  • Add Cognos Analytics reports to your OpenPages dashboard
  • Open the reports from OpenPages
  • Add reporting fragments to views
  • Use computed fields
Restriction: To use these services together, both services must be installed on the same instance of Cloud Pak for Data.

You can set up the integration when you provision OpenPages instances. Or you can set up the integration for existing instances. For more information, see Integrated reporting with Cognos Analytics.

Support for vaults
If you use an external database with OpenPages, you can store the database user and database administrator credentials in an external vault, such as HashiCorp. For details, see Managing secrets and vaults.
Other new features and enhancements
This release includes additional features and enhancements that were introduced in OpenPages Version 8.2.0.4. For details, see New features in version 8.2.0.4.

Version 8.204.0 of the OpenPages service includes various fixes.

For details, see What's new and changed in OpenPages.

Related documentation:
OpenPages
Planning Analytics
  • CASE: 4.0.30337
  • Operator: 4.0.3
  • Operand: 4.0.3

Version 4.0.3 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
Product Master
  • CASE: 1.0.2
  • Operator: 1.0.2
  • Operand: 1.0.2

Version 1.0.2 of the Product Master service includes various fixes.

For details, see What's new and changed in Product Master.

Related documentation:
Product Master
RStudio Server with R 3.6
  • CASE: 1.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The 4.0.3 release of RStudio Server with R 3.6 includes the following features and updates:

Support for adding custom libraries from CRAN repositories
You can now install and use libraries from custom CRAN repositories, such as Nexus Repository, when you write R scripts in RStudio. For details, see Using libs from CRAN repositories in RStudio.
Support for accessing data in a storage volume
R scripts can now access data from a volume on an NFS server or a persistent volume claim (PVC). For details, see Storage volume connection.

Version 4.0.3 of the RStudio Server with R 3.6 service includes various fixes.

For details, see What's new and changed in RStudio Server with R 3.6.

Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • CASE: 1.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The 4.0.3 release of SPSS Modeler includes the following features and updates:

Updated look and feel
Model output visualizations throughout SPSS Modeler now have a consistent look and feel. And previews are now consistent with previews generated by other Watson Studio interfaces.
Notifications
When creating a job, you can now choose to receive notifications for all job statuses or just for job success, warning, or failure. Click the Notifications icon on the main toolbar to see your notifications.
Node enhancements
  • The Auto Cluster node includes new expert settings that enable you to build multiple models at once. To access these settings, double-click the Auto Cluster node to open its properties.
  • The Data Asset import node now supports flow parameters in custom SQL statements. After double-clicking a Data Asset import node to open its properties, you can write a custom SQL statement under the SQL section. In the SQL statement, you can reference a parameter that's defined in the flow properties (for example, select AGE, BP from DRUG1N where AGE < '$P-para' where '$P-para' references the parameter definition named para under Flow Properties > Parameters > Parameter definitions.
Expression Builder enhancements
In the Expression Builder, under Fields, you can now select Parameters or Global Values. Previously, you could only see fields or recently used fields. Now you can also see parameters and global values and use them in your expressions without having to remember the syntax to reference them.
Outputs panel enhancements
After running a flow or a node, generated output is available in the Outputs panel at the top-right of the screen. The Outputs panel has been enhanced. You can now perform such tasks as deleting multiple items at the same time and downloading images.

Version 4.0.3 of the SPSS Modeler service includes various fixes.

For details, see What's new and changed in SPSS Modeler.

Related documentation:
SPSS Modeler
Watson Discovery
  • CASE: 4.0.3
  • Operator: 4.0.3
  • Operand: 4.0.3

The 4.0.3 release of Watson Discovery includes features and updates.

For a list of new features in Watson Discovery, see the Watson Discovery release notes.

Version 4.0.3 of the Watson Discovery service includes various fixes.

Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

The 4.0.3 release of Watson Knowledge Catalog includes the following features and updates:

Support for vaults
Watson Knowledge Catalog supports integration with an external vault where your secrets are stored. For more information, see Managing secrets and vaults.

You can use vaults and secrets to store and access credentials securely, and then use them to connect to data sources. For more information, see Using secrets from vaults in connections.

Metadata import from additional data sources
Metadata import now supports the following data sources:
  • Netezza
  • Salesforce.com
Additional connections are synced
Connections to the following data sources are now also synced between the information assets view and the default catalog or when metadata is synced with external repositories:
  • Amazon S3
  • Microsoft Azure Data Lake Store
  • Microsoft Azure File Storage
  • Microsoft Azure Blob Storage
  • SAP HANA
Custom category roles
In addition to the predefined category roles, you can create custom roles with a custom set of permissions. Custom category roles offer more granular control over the actions that users can take within a category. For details, see Category collaborator roles.
Enhancements to importing and exporting governance artifacts using ZIP files
  • The relationship between artifacts are defined by the artifact identifiers. This method replaces the previous method, which used the context and name of the artifact to define the relationship. This change ensures that the artifacts are identified consistently.
  • The Manage glossary permission was added to control who can import or export governance artifacts using a ZIP file.
  • If the synchronization phase of the import process is interrupted, for example because a pod stops running, Watson Knowledge Catalog starts a new pod to restart the synchronization process.
For details, see Importing all governance artifacts from a ZIP file.
Extended support for custom attributes
In previous refreshes, you could apply custom attributes to governance artifacts. However, you could not apply custom attributes to classifications or reference data.

In this refresh, you can now apply custom attributes to classifications or reference data by using the Watson Data REST APIs. For details, see Custom attributes for assets and artifacts.

Give users temporary or role-based access to your Amazon S3 data
The Amazon S3 account owner can provide temporary security credentials or grant role-based access to trusted users for data that is accessed through an Amazon S3 connection. This feature provides greater security and flexibility because the account owner does not need to add additional users to their IAM account. For details, see Setting up temporary credentials or a Role ARN for Amazon S3.
Support for new connection type
Watson Knowledge Catalog can now connect to Databases for DataStax.
Duplicate asset handling
You can now specify how to handle duplicate assets in a catalog:
Update
Update the values of the original assets with the values of the new assets. If the new assets have empty values, the corresponding values from the original assets are retained.

The privacy setting, asset owner, asset members, and activities of the asset remain unchanged.

Duplicate
Add the new assets as duplicates of the original assets. (This is the default behavior.)
Overwrite
Overwrite all values of the original assets with the values of the new assets.

The privacy setting, asset owner, asset members, and activities of the asset remain unchanged.

Reject and preserve
Reject the new duplicate assets and preserve the original assets.

You can change the duplicate asset handling behavior at any time from the catalog Settings page. For details, see Changing catalog settings.

Support for Power 10 hardware
You can now install Watson Knowledge Catalog on Red Hat OpenShift Container Platform Version 4.8 clusters running on Power 10 hardware. However, the service does not take advantage of Power 10 optimizations.

Version 4.0.3 of the Watson Knowledge Catalog service includes various fixes.

For details, see What's new and changed in Watson Knowledge Catalog.

Related documentation:
Watson Knowledge Catalog
Watson Knowledge Studio
  • CASE: 4.0.3
  • Operator: 4.0.3
  • Operand: 4.0.3

Version 4.0.3 of the Watson Knowledge Studio service includes various fixes.

Related documentation:
Watson Knowledge Studio
Watson Machine Learning
  • CASE: 4.0.4
  • Operator: 1.1.2
  • Operand: 4.0.3

The 4.0.3 release of Watson Machine Learning includes the following features and updates:

Several technical preview features are now fully supported
The following features were previously available as technical previews. Starting in Refresh 3 of Version 4.0, these features are now fully supported:
AutoAI experiments with joined data
Joining multiple data sources to create a single data source for training AutoAI experiments is now fully supported. For details, see Joining data sources.
Federated Learning experiments
Federated learning is now fully supported for training machine learning models that use remote data that is never shared or joined. For details, see Federated Learning.
New data sources for training AutoAI experiment
You can now access tables from a Snowflake database or use Microsoft Excel files stored in a COS bucket as data sources for training an AutoAI experiment. For details, see AutoAI overview.
Restrict federated learning parties with an Allow list
Create a list of authorized IP addresses to exercise greater control over a federated learning experiment. For details, see Creating a Remote Training System.
Protect sensitive data when you export and import
Assign a password to assets that you export from a space and require the password to import the assets into a space to maintain stricter security. For details, see Exporting a deployment space.
Update an asset in a space with a new software specification
You can now update the software specification that is associated with an asset without recreating the asset. For details, see Updating a deployment.

Version 4.0.3 of the Watson Machine Learning service includes various fixes.

For details, see What's new and changed in Watson Machine Learning.

Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.3
  • Operator: 1.0.3
  • Operand: 2.3.3

The 2.3.3 release of Watson Machine Learning Accelerator includes the following features and updates:

Support for additional asset types
Watson Machine Learning Accelerator now supports the following data asset types:
  • Data
  • Connection
  • Connected data
For more information, see: Copy data using a data connection.
Support for Power hardware
You can install Watson Machine Learning Accelerator on a Red Hat OpenShift Container Platform Version 4.8 cluster running on Power hardware.

Version 2.3.3 of the Watson Machine Learning Accelerator service includes various fixes.

Related documentation:
Watson Machine Learning Accelerator
Watson Speech to Text
  • CASE: 4.0.3
  • Operator: 4.0.3
  • Operand: 4.0.3

The 4.0.3 release of Watson Speech to Text includes features and updates.

For a list of new features in Watson Speech to Text, see the Watson Speech to Text release notes for IBM Cloud Pak for Data.

Version 4.0.3 of the Watson Speech to Text service includes various fixes.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.3
  • Operator: 2.0.3
  • Operand: 4.0.3

The 4.0.3 release of Watson Studio includes the following features and updates:

Support for new connection type
Watson Studio can now connect to Databases for DataStax.
Give users temporary or role-based access to your Amazon S3 data
The Amazon S3 account owner can provide temporary security credentials or grant role-based access to trusted users for data that is accessed through an Amazon S3 connection. This feature provides greater security and flexibility because the account owner does not need to add additional users to their IAM account. For details, see Setting up temporary credentials or a Role ARN forAmazon S3.
Run scheduled jobs on demand
Can't wait for the next scheduled run of a job? You can now run scheduled jobs on demand. For details, see Viewing job details.

Version 4.0.3 of the Watson Studio service includes various fixes.

For details, see What's new and changed in Watson Studio.

Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3

Version 4.0.3 of the Watson Studio Runtimes service includes various fixes.

For details, see What's new and changed in Watson Studio Runtimes.

Related documentation:
Jupyter Notebook runtimes for Watson Studio
Watson Text to Speech
  • CASE: 4.0.3
  • Operator: 4.0.3
  • Operand: 4.0.3

The 4.0.3 release of Watson Text to Speech includes features and updates.

For a list of new features in Watson Text to Speech, see the Watson Text to Speech release notes for IBM Cloud Pak for Data.

Version 4.0.3 of the Watson Text to Speech service includes various fixes.

Related documentation:
Watson Text to Speech

Refresh 2 of Version 4.0

Released: October 2021

This refresh of Cloud Pak for Data introduces support for Red Hat OpenShift Container Platform Version 4.8 and for Red Hat OpenShift Container Platform Version 4.8 clusters running on Power and s390x (IBM Z and LinuxONE) hardware.

This refresh also includes the initial release of the following services on Cloud Pak for Data Version 4.0:
  • Informix
  • Watson Knowledge Studio

In addition, this refresh introduces a new OADP backup and restore utility.

Software Version What does it mean for me?
Cloud Pak for Data platform

Platform operator:

  • CASE: 2.0.5
  • Operator: 2.0.4

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.8.0
  • Operator:
    • Common services: 3.12
    • Zen: 1.3.0
  • Operand:
    • Common services: 3.12
    • Zen: 4.2.0
Refresh 2 of Version 4.0 of the Cloud Pak for Data platform includes the following features and updates:
Support for Power and s390x hardware
You can now install Cloud Pak for Data on Red Hat OpenShift Container Platform Version 4.8 clusters running on:
  • s390x (z14 or later)
  • Power

Not all services support these environments. For a list of services that can be installed on Power or s390x hardware, see Hardware requirements.

Support for Red Hat OpenShift Container Platform Version 4.8
You can now install Cloud Pak for Data on Red Hat OpenShift Container Platform Version 4.8.

Refresh 2 of Version 4.0 of the Cloud Pak for Data platform includes various fixes.

Related documentation:
Cloud Pak for Data command-line interface (cpd-cli) 10.0.1
The 10.0.1 release of the Cloud Pak for Data command-line interface includes the following features and updates:
New backup and restore utility
The OpenShift APIs for Data Protection (OADP) backup and restore utility enables you to seamlessly back up and restore your entire Cloud Pak for Data deployment. With the OADP backup and restore utility, you can back up:
  • The persistent volume claims (PVCs) that are associated with a set of Red Hat OpenShift Container Platform projects (Kubernetes namespaces)
  • The Kubernetes and OpenShift metadata associated with your deployment

You can restore your Cloud Pak for Data deployment into the same OpenShift cluster or to a new or secondary cluster.

Restriction: This utility is supported only on Linux® x86-64.

For details, see Backing up and restoring your deployment.

Cloud Pak for Data common core services
  • CASE: 1.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
The 4.0.2 release of the common core services includes changes to support features and updates in Watson Studio and Watson Knowledge Catalog.
The common core services includes the following features and updates:
Create analytics projects with default Git integration
In projects with default Git integration, you always have your own view of the project based on the contents of your local Git clone.

This feature enables you to associate the same Git repository with different analytics projects across, even if they are associated with different instances of Cloud Pak for Data. For details, see Projects with default Git integration.

Support on s390x hardware
You can create, train, and deploy machine learning models on Cloud Pak for Data on Red Hat OpenShift Container Platform Version 4.8 running on IBM Z and LinuxONE. However, deployments on this hardware support a limited set of features.

For a list of the features that are available on IBM Z and LinuxONE, see Capabilities on IBM Z.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Version 4.0.2 of the common core services includes various fixes. For details, see What's new and changed in the common core services.

Cloud Pak for Data scheduling service
  • CASE: 1.2.3
  • Operator: 1.2.3
  • Operand: 1.2.3

Version 1.2.3 of the scheduling service includes various fixes. various fixes. For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2

Version 4.0.2 of the Analytics Engine Powered by Apache Spark includes various fixes. For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.4
  • Operator: 4.0.2
  • Operand: 4.0.2
The 4.0.2 release of Cognos Analytics includes the following features and updates:
Support for upgrade
You can now upgrade Cognos Analytics from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5 to Refresh 2 of Version 4.0.
Email notifications
You can now notify people by e-mail using either a report task or an email task. For details, see Notification methods in the Cognos Analytics product documentation.

Version 4.0.2 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
The 4.0.2 release of Cognos Dashboards includes the following features and updates:
Support for Power
You can install Cognos Dashboards on a Red Hat OpenShift Container Platform Version 4.8 cluster running on Power hardware.
Related documentation:
Cognos Dashboards
Data Refinery
  • CASE: 1.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2

Version 4.0.2 of the Data Refinery service includes various fixes. For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
Data Virtualization
  • CASE: 1.7.2
  • Operator: 1.7.2
  • Operand: 1.7.2
The 1.7.2 release of Data Virtualization includes the following features and updates:
Support for upgrade
You can now upgrade Data Virtualization from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.1
Back up and restore
Data Virtualization now supports backup and restore with the new OADP backup and restore utility. For more information, see Backing up and restoring your deployment.
Enhancements for user groups support
This release includes the following enhancements for user groups support:
  • Schemas with CREATEIN privilege for a group are included in the list of schemas you can specify when you virtualize an object.
  • Data protection rules that are defined on user groups are enforced.
Enhancements for Excel support
The Excel source wrapper in Data Virtualization now allows access to spreadsheets of unlimited size. For more information, see Creating a virtualized table from files.
New tutorial for using remote connectors
In this tutorial, you learn how to improve performance for your data virtualization data sources with remote connectors. For more information, see Improve performance for your Data Virtualization data sources with remote connectors.

Version 1.7.2 of the Data Virtualization service includes various fixes. For details, see What's new and changed in Data Virtualization.

Related documentation:
Data Virtualization
DataStage
  • CASE: 4.0.3
  • Operator: 1.0.0
  • Operand: 4.0.2
In the 4.0.2 release, the DataStage service been redesigned and modernized.

With DataStage, you can design and run data flows that move and transform data anywhere, at any scale.

No matter how complex your data landscape, DataStage can streamline your data movement costs and increase productivity. DataStage offers:
  • A best-in-breed parallel processing engine that enables you to process your data where it resides
  • Automated job design
  • Simple integration with cloud data lakes, real-time data sources, relational databases, big data, and NoSQL data stores

The DataStage service uses Cloud Pak for Data platform connections and integration points, with services like Data Virtualization, to simplify the process of connecting to and accessing your data.

With DataStage, Data Engineers can use the simple user interface to build no-code/low-code data pipelines. The interface offers hundreds of functions and connectors that reduce development time and inconsistencies across pipelines. The interface also makes it easy to collaborate with your peers and control access to specific analytics projects.

The service also provides automatic workload balancing to provide high performance pipelines that make efficient use of available compute resources.

Related documentation:
DataStage
Db2
  • CASE: 4.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3
The 4.0.3 release of Db2 includes the following features and updates:
Support for gathering diagnostic data
When you request support from IBM for the Db2 service, you can use the Support > Diagnostics feature to collect the diagnostic logs for the service. Ensure that you select Db2 when you create a new diagnostic job. For details, see Gathering diagnostic information.
Separate storage for temporary table spaces
When you deploy the Db2 service, you can now specify a separate storage area for temporary table spaces on the Db2 pod to reduce I/O bottlenecks and improve performance.
Version 4.0.3 of the Db2 service includes various fixes.
Related documentation:
Db2
Db2 Big SQL
  • CASE: 7.2.2
  • Operator: 7.2.2
  • Operand: 7.2.2
The 7.2.2 release of Db2 Big SQL includes the following features and updates:
Support for upgrade
You can now upgrade Db2 Big SQL on Cloud Pak for Data Version 4.0.1 to 4.0.2.
Back up and restore
Db2 Big SQL now supports backup and restore with the new OADP backup and restore utility. For details, see Backing up and restoring your deployment.
Version 7.2.2 of the Db2 Big SQL service includes various fixes.
Related documentation:
Db2 Big SQL
Db2 Data Gate
  • CASE: 4.0.2
  • Operator: 2.0.2
  • Operand: 2.0.2
The 2.0.2 release of Db2 Data Gate includes the following features and updates:
Support on s390x hardware
You can install Db2 Data Gate on a Red Hat OpenShift Container Platform Version 4.8 cluster running on s390x hardware (IBM Z and LinuxONE).
Data compression for row-based Db2 target databases
When you add a table to a Db2 target database, Db2 Data Gate creates the corresponding backend table target and selects a compression algorithm to be applied to the data when the table is loaded or synchronized. The data compression saves storage space and improves the overall performance.
Version 2.0.2 of the Db2 Data Gate service includes various fixes.
Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • CASE: 4.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
The 4.0.2 release of Db2 Data Management Console includes the following features and updates:
Support on s390x hardware
You can install Db2 Data Management Console on a Red Hat OpenShift Container Platform Version 4.8 cluster running on s390x hardware (IBM Z and LinuxONE).

Version 4.0.2 of the Db2 Data Management Console service includes various fixes. For details, see What's new and changed in Db2 Data Management Console.

Related documentation:
Db2 Data Management Console
Db2 Warehouse
  • CASE: 4.0.3
  • Operator: 1.0.3
  • Operand: 4.0.3
The 4.0.3 release of Db2 Warehouse includes the following features and updates:
Support for gathering diagnostic data
When you request support from IBM for the Db2 Warehouse service, you can use the Support > Diagnostics feature to collect the diagnostic logs for the service. Ensure that you select Db2 Warehouse when you create a new diagnostic job. For details, see Gathering diagnostic information.
Separate storage for temporary table spaces
When you deploy the Db2 Warehouse service, you can now specify a separate storage area for temporary table spaces on the Db2 Warehouse pod to reduce I/O bottlenecks and improve performance.
Version 4.0.3 of the Db2 Warehouse service includes various fixes.
Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.2
  • Operator: 4.0.2
  • Operand: 4.0.2
The 4.0.2 release of Decision Optimization includes the following features and updates:
Support for Git-based projects
You can now use Decision Optimization experiments in Watson Studio Git-based projects.
Python 3.8
Python 3.8 is now the default version for Decision Optimization experiments. Python 3.7 is deprecated but still supported.
Version 4.0.2 of the Decision Optimization service includes various fixes. For details, see What's new and changed in Decision Optimization.
Related documentation:
Decision Optimization
EDB Postgres
  • CASE: 4.0.2
  • Operator:
    • PostgreSQL (third-party) 1.8.0
    • EDB Postgres (IBM): 4.0.2
  • Operand: 12.8 and 13.4
The 12.8 and 13.4 release of EDB Postgres includes the following features and updates:
Updated PostgreSQL operator
The Cloud Native PostgreSQL operator, which is packaged with EDB Postgres, is now at Version 1.8.0.
Related documentation:
Execution Engine for Apache Hadoop
  • CASE: 4.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
The 4.0.2 release of Execution Engine for Apache Hadoop includes the following features and updates:
Support on s390x hardware
You can train, and deploy machine learning models on Cloud Pak for Data on Red Hat OpenShift Container Platform Version 4.8 running on IBM Z and LinuxONE. However, deployments on this hardware support a limited set of features.

For a list of the features that are available on IBM Z and LinuxONE, see Capabilities on IBM Z.

Version 4.0.2 of the Execution Engine for Apache Hadoop service includes various fixes. For details, see What's new and changed in Execution Engine for Apache Hadoop.
Related documentation:
Execution Engine for Apache Hadoop
IBM Match 360
  • CASE: 1.0.115
  • Operator: 1.1.90
  • Operand: 1.1.90
The 1.1.90 release of IBM Match 360 includes the following features and updates:
Back up and restore
IBM Match 360 now supports backup and restore with the new OADP backup and restore utility. For details, see Backing up and restoring your deployment.
Version 1.1.90 of the IBM Match 360 service includes various fixes. For details, see What's new and changed in IBM Match 360.
Related documentation:
IBM Match 360 with Watson
Informix
  • CASE:
    • Install: 4.0.2
    • Deployment: 4.0.2
  • Operator:
    • Install: 4.0.0
    • Deployment: 4.0.0
  • Operand: 4.0.0
Informix is now available on Cloud Pak for Data 4.0.

The 4.0.0 release of Informix includes the following features and updates:

Improved resilience
The Informix service is more resilient. The service has been rearchitected to use microservices for better resiliency and more flexibility. This release also introduces a highly available MACH11 cluster with a primary server and an HDR secondary server as part of the default installation. You can optionally specify up to eight RS secondary servers. For details, see Creating a database deployment on the cluster.
Enhanced user experience
The Informix service automatically integrates with the Informix Data Management Console, which enables you to manage and monitor Informix databases that are deployed on Cloud Pak for Data from a single user interface. For details, see Viewing Informix Data Management Console.
Integration with Certificate manager
Informix leverages the Certificate manager (provided by IBM Cloud Pak foundational services) to generate TLS certificates for secure internal communications between pods.

Version 4.0.0 of the Informix service includes various fixes. For details, see Fix list for Informix Server 14.10.xC6 release.

Related documentation:
Informix
OpenPages
  • CASE: 2.0.2+20210910.011848.82030838
  • Operator: 8.203.2
  • Operand: 8.203.2
The 8.203.2 release of OpenPages includes the following features and updates:
Back up and restore
OpenPages now supports backup and restore with the new OADP backup and restore utility. For details, see Backing up and restoring your deployment.

Version 8.203.2 of the OpenPages service includes various fixes.

Related documentation:
OpenPages
Planning Analytics
  • CASE: 4.0.20270
  • Operator: 4.0.2
  • Operand: 4.0.2
A new refresh of Planning Analytics is available on Cloud Pak for Data Version 4.0.
Related documentation:
Planning Analytics
Product Master
  • CASE: 1.0.1
  • Operator: 1.0.1
  • Operand: 1.0.1
The 1.0.1 release of Product Master includes the following features and updates:
Support for upgrade
You can now upgrade Product Master on Cloud Pak for Data Version 4.0.1 to 4.0.2.

Version 1.0.1 of the Product Master service includes various fixes. For details, see What's new and changed in Product Master.

Related documentation:
Product Master
RStudio Server with R 3.6
  • CASE: 1.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
The 4.0.2 release of RStudio Server with R 3.6 includes the following features and updates:
Support for Anaconda Repository for IBM Cloud Pak for Data
You can use software packages and libraries from Anaconda Repository for IBM Cloud Pak for Data in RStudio Server with R 3.6. See Using libs from Anaconda Repository.
Version 4.0.2 of the RStudio Server with R 3.6 service includes various fixes. For details, see What's new and changed in RStudio Server with R 3.6.
Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • CASE: 1.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
Version 4.0.2 of the SPSS Modeler service includes various fixes. For details, see What's new and changed in SPSS Modeler.
Related documentation:
SPSS Modeler
Voice Gateway
  • CASE: 1.0.3
  • Operator: 1.0.3
  • Operand: 1.0.7
A new refresh of Voice Gateway is available on Cloud Pak for Data Version 4.0. This refresh includes fixes to image security vulnerabilities.
Related documentation:
Voice Gateway
Watson Assistant
  • CASE: 4.0.2
  • Operator: 4.0.2
  • Operand: 4.0.2

Version 4.0.2 of the Watson Assistant service includes security fixes and the following update:

Integration with the Cloud Pak for Data auditing service
Watson Assistant integrates with the Cloud Pak for Data auditing service feature, providing standard auditing records for important lifecycle and security events. The service generates audit records for events such as intent edits, entity creation, dialog node deletion, and more.
Related documentation:
Watson Assistant
Watson Discovery
  • CASE: 4.0.2
  • Operator: 4.0.2
  • Operand: 4.0.2
For information about what's new in the 4.0.2 refresh of the Watson Discovery service, see the release notes.
Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
The 4.0.2 release of Watson Knowledge Catalog includes the following features and updates:
Support for Power
You can install Watson Knowledge Catalog on a Red Hat OpenShift Container Platform Version 4.8 cluster running on Power hardware.
Data discovery from Netezza sources
You can run automated discovery and quick scan jobs on Netezza data source by using a generic JDBC platform connection. For information on creating platform connections, see Connecting to data sources at the platform level.
Usability improvement for editing governance artifacts
When you edit a governance artifact property and select an artifact, you can display basic information for the selected artifact in the same edit panel.
Screen capture of the governance artifact interface
Support for new connection type
Watson Knowledge Catalog can now connect to Amazon RDS for Oracle.
Support for additional data sources
Metadata import now supports the following data sources:
  • Databases for MongoDB
  • MongoDB
  • SAP HANA
Version 4.0.2 of the Watson Knowledge Catalog service includes various fixes. For details, see What's new and changed in Watson Knowledge Catalog.
Related documentation:
Watson Knowledge Catalog
Watson Knowledge Studio
  • CASE: 4.0.2
  • Operator: 4.0.2
  • Operand: 4.0.2
Watson Knowledge Studio is now available on Cloud Pak for Data Version 4.0.
Related documentation:
Watson Knowledge Studio
Watson Machine Learning
  • CASE: 4.0.3
  • Operator: 1.1.1
  • Operand: 4.0.2
The 4.0.2 release of Watson Machine Learning includes the following features and updates:
Support for new SPSS data source
You can now use data from a Netezza database as input for SPSS model deployments. For details, see Batch deployment details.
Support on s390x hardware
You can train, and deploy machine learning models on Cloud Pak for Data on Red Hat OpenShift Container Platform Version 4.8 running on IBM Z and LinuxONE. However, deployments on this hardware support a limited set of features.

For a list of the features that are available on IBM Z and LinuxONE, see Capabilities on IBM Z.

Enhanced capabilities to import content into a space
For details, see Importing spaces and projects into existing deployment spaces
Support for Spark 3.0 frameworks
For details, see Supported frameworks
Create deployment jobs for scripts from space Assets page
For details on creating jobs for Python and R scripts without having to create a batch job, see Managing jobs
Support for new data sources for AutoAI
For details on connecting to data files such as Parquet files in Cloud Object Storage (S3), see AutoAI overview
Version 4.0.2 of the Watson Machine Learning service includes various fixes. For details, see What's new and changed in Watson Machine Learning.
Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.2
  • Operator: 1.0.2
  • Operand: 2.3.2
The 2.3.2 release of Watson Machine Learning Accelerator includes the following features and updates:
Support for new libraries
Watson Machine Learning Accelerator includes support for new deep learning libraries. For details, see Supported deep learning frameworks in the Watson Machine Learning Accelerator documentation.
Version 2.3.2 of the Watson Machine Learning Accelerator service includes various fixes.
Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.2.0
  • Operator: 1.2.0
  • Operand: 4.0.2
The 4.0.2 release of Watson OpenScale includes the following features and updates:
Evaluating custom metrics
You can configure an evaluation of custom metrics to validate your custom monitor thresholds. You can view the results from the Insights dashboard.
Version 4.0.2 of the Watson OpenScale service includes various fixes.
Related documentation:
Watson OpenScale
Watson Studio
  • CASE: 2.0.2
  • Operator: 2.0.2
  • Operand: 4.0.2
The 4.0.2 release of Watson Studio includes the following features and updates:
Create analytics projects with default Git integration
In projects with default Git integration, you always have your own view of the project based on the contents of your local Git clone.

This feature enables you to associate the same Git repository with different analytics projects across, even if they are associated with different instances of Cloud Pak for Data. For details, see Projects with default Git integration.

Support for Microsoft Azure repositories
If you create an analytics project with default integration, you can optionally associate the project with a repository in Microsoft Azure. For details, see Accessing a Git repository.
CPDCTL support for code packages
You can use CPDCTL to:
  • Promote a code package (ZIP archive file) to a space. (When the package is promoted to the space it is registered as a code package asset)
  • Create a job to run the files in the code package asset.
For details, see Code packages.
Support on s390x hardware
You can create, train, and deploy machine learning models on Cloud Pak for Data on Red Hat OpenShift Container Platform Version 4.8 running on IBM Z and LinuxONE. However, deployments on this hardware support a limited set of features.

For a list of the features that are available on IBM Z and LinuxONE, see Capabilities on IBM Z.

Support for new connection type
Watson Studio can now connect to Amazon RDS for Oracle.
Version 4.0.2 of the Watson Studio service includes various fixes. For details, see What's new and changed in Watson Studio.
Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.2
  • Operator: 1.0.2
  • Operand: 4.0.2
The 4.0.2 release of Watson Studio Runtimes includes the following features and updates:
Support on s390x hardware
You can run Jupyter Notebooks with Python 3.8 on Red Hat OpenShift Container Platform Version 4.8 running on IBM Z and LinuxONE

For a list of the features that are available on IBM Z and LinuxONE, see Capabilities on IBM Z.

Version 4.0.2 of the Watson Studio Runtimes service includes various fixes.
Related documentation:
Jupyter Notebook runtimes for Watson Studio

Refresh 1 of Version 4.0

Released: August 2021

This refresh of Cloud Pak for Data introduces support for upgrades from:
Restriction: Not all services support upgrade from both versions. Information about which services support upgrade from Version 3.5 and Version 4.0 are listed in the preceding overviews.
This refresh also includes the initial release of the following services on Cloud Pak for Data Version 4.0:
  • Voice Gateway
  • Watson Assistant
  • Watson Discovery
  • Watson Speech to Text
  • Watson Text to Speech
Software Version What does it mean for me?
Cloud Pak for Data platform

Platform operator:

  • CASE: 2.0.3
  • Operator: 2.0.3

Control plane: (IBM Cloud Pak foundational services)

  • CASE: 1.6.0
  • Operator:
    • Common services: 3.10.0
    • Zen: 1.2.0
  • Operand:
    • Common services: 3.10.0
    • Zen: 4.1.0
Refresh 1 of Version 4.0 of the Cloud Pak for Data platform includes the following features and updates:
Support for upgrade
You can now upgrade your Cloud Pak for Data installation:
  • If you are running Cloud Pak for Data Version 3.0.1, you must upgrade your installation to Version 3.5. before you can upgrade to Version 4.0.x. For details on upgrading to Version 3.5, see Upgrading IBM Cloud Pak for Data control plane in the Version 3.5 documentation.
  • If you are running Cloud Pak for Data Version 3.5.3, you can upgrade to Cloud Pak for Data Version Not applicable or later refreshes.
    Important: If you are running an earlier refresh of Cloud Pak for Data Version 3.5, you must upgrade to Version 3.5.3 or later before you upgrade to 4.0.x.
  • If you are running Cloud Pak for Data Version 4.0.x, you can upgrade to the latest refresh.

After you upgrade Cloud Pak for Data, upgrade the services on your cluster.

Volumes file browser
The integrated file browser for storage volumes is no longer a tech preview. The file browser is now a fully supported feature in Cloud Pak for Data.

Refresh 1 of Version 4.0 of the Cloud Pak for Data platform includes various fixes.

Related documentation:
Cloud Pak for Data common core services
  • CASE: 1.0.1
  • Operator: 1.0.0
  • Operand: 4.0.1
The 4.0.1 release of the common core services includes changes to support features and updates in Watson Studio and Watson Knowledge Catalog.
The common core services includes the following features and updates:
Support for job features
The common core services now support job notifications and job retention.
Support for Python 3.8
You can now select Python 3.8 in environments for notebooks and Python scripts.

If you install or upgrade a service that requires the common core services, the common core services will also be installed or upgraded.

Version 4.0.1 of the common core services includes various fixes. For details, see What's new and changed in the common core services.

Cloud Pak for Data scheduling service
  • CASE: 1.2.2
  • Operator: 1.2.2
  • Operand: 1.2.2
The 1.2.2 release of the scheduling service includes the following features and updates:
Support for upgrade
You can now upgrade the scheduling service from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x

Version 1.2.2 of the scheduling service includes various fixes. various fixes. For details, see What's new and changed in the scheduling service.

Related documentation:
Analytics Engine Powered by Apache Spark
  • CASE: 4.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Analytics Engine Powered by Apache Spark includes the following features and updates:
Support for upgrade
You can now upgrade Analytics Engine Powered by Apache Spark from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x

Version 4.0.1 of the Analytics Engine Powered by Apache Spark includes various fixes. For details, see What's new and changed in Analytics Engine Powered by Apache Spark.

Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • CASE: 4.0.3
  • Operator: 4.0.1
  • Operand: 4.0.2
The 4.0.2 release of Cognos Analytics includes the following features and updates:
Support for upgrade
You can now upgrade Cognos Analytics from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 4.0.x
Important: Upgrade from Cloud Pak for Data 3.5 is not supported.

Version 4.0.2 of the Cognos Analytics service includes various fixes.

Related documentation:
Cognos Analytics
Cognos Dashboards
  • CASE: 2.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Cognos Dashboards includes the following features and updates:
Support for upgrade
You can now upgrade Cognos Dashboards from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Related documentation:
Cognos Dashboards
Data Refinery
  • CASE: 1.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1

Version 4.0.1 of the Data Refinery service includes various fixes. For details, see What's new and changed in Data Refinery.

Related documentation:
Data Refinery
Data Virtualization
  • CASE: 1.7.1
  • Operator: 1.7.1
  • Operand: 1.7.1
The 1.7.1 release of Data Virtualization includes the following features and updates:
Support for upgrade
Upgrading from Data Virtualization 1.5.0 on Cloud Pak for Data Version 3.5 to Data Virtualization Version 1.7.1 on Cloud Pak for Data Version 4.0.1 is a manual process. For more information, see Upgrading Data Virtualization.
Virtualize tables in IBM Cloud Object Storage, Amazon S3, and Ceph® data sources
You can now virtualize tables in IBM Cloud Object Storage by using an enhanced virtualization flow to browse and preview files. Data Virtualization integrates with object storage connections and supports PARQUET (or PARQUETFILE), Optimized Row Columnar (ORC), CSV (Comma Separated Values), TSV (TAB Separated Values), and JSON data formats. For more information, see Connecting to Cloud Object Storage.
Support for user groups
Data Virtualization supports user groups. To use groups in Data Virtualization, follow these steps:
  1. Set up Cloud Pak for Data user groups.
  2. Assign Data Virtualization roles to the user groups.
  3. Grant user groups access to virtual objects in Data Virtualization.
Build applications that can connect to Data Virtualization
You can build applications that access and use the data from the Data Virtualization service by enabling the Db2 REST interface. For more information, see Building database applications.
Db2 Data Management Console enhancements
Data Virtualization automatically installs or upgrades the Db2 Data Management Console service. For more information, see What's new and changed in Db2 Data Management Console.

Version 1.7.1 of the Data Virtualization service includes various fixes. For details, see What's new and changed in Data Virtualization.

Related documentation:
Data Virtualization
DataStage
  • CASE: 4.0.2
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of DataStage includes the following features and updates:
Support for upgrade
You can now upgrade DataStage from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Version 4.0.1 of the DataStage service includes various fixes.
Related documentation:
DataStage
Db2
  • CASE: 4.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Db2 includes the following features and updates:
Support for upgrade
You can now upgrade Db2 from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Related documentation:
Db2
Db2 Big SQL
  • CASE: 7.2.1+20210819.120000
  • Operator: 7.2.1
  • Operand: 7.2.1
The 7.2.1 release of Db2 Big SQL includes the following features and updates:
Support for upgrade
You can now upgrade Db2 Big SQL from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
Important: Upgrade from Cloud Pak for Data 4.0 is not supported.
Related documentation:
Db2 Big SQL
Db2 Data Gate
  • CASE: 4.0.1
  • Operator: 2.0.1
  • Operand: 2.0.1
The 2.0.1 release of Db2 Data Gate includes the following features and updates:
Support for upgrade
You can now upgrade Db2 Data Gate from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Version 2.0.1 of the Db2 Data Gate service includes various fixes.
Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • CASE: 4.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Db2 Data Management Console includes the following features and updates:
Support for upgrade
You can now upgrade Db2 Data Management Console from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
New method for specifying service instances
You can now create a Db2 Data Management Console service instance by creating a custom resource.

For details, see Creating a service instance.

Support for data type detection
Db2 Data Management Console now supports detection of data types to define what value a column can hold in the table. This feature is available only for new tables. To use this feature, set the Detect data types option in the LOAD page.

When this option is enabled, the console reviews data from the loaded source file and automatically provides the data types for all the columns in the table. However, it is not suggested to use this feature when the source file is large because it might reduce the performance of the console when large amount of data is processed.

When this option is disabled, the console reviews only the first batch of data from the loaded source file and provides data types based on small amount of data. Accordingly, user might be required to confirm the suggested data types and modify them.

Version 4.0.1 of the Db2 Data Management Console service includes various fixes. For details, see What's new and changed in Db2 Data Management Console.

Related documentation:
Db2 Data Management Console
Db2 Warehouse
  • CASE: 4.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Db2 Warehouse includes the following features and updates:
Support for upgrade
You can now upgrade Db2 Warehouse from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Related documentation:
Db2 Warehouse
Decision Optimization
  • CASE: 4.0.1
  • Operator: 4.0.1
  • Operand: 4.0.1
The 4.0.1 release of Decision Optimization includes the following features and updates:
Support for upgrade
You can now upgrade Decision Optimization from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Sort data tables
You can now sort data tables in the Prepare Data view.
Support for Python 3.8
By default, Decision Optimization experiments use Python 3.7. However, you can edit the run parameters for your experiment to use Python 3.8 instead.
Version 4.0.1 of the Decision Optimization service includes various fixes. For details, see What's new and changed in Decision Optimization.
Related documentation:
Decision Optimization
EDB Postgres
  • CASE: 4.0.1
  • Operator:
    • PostgreSQL (third-party) 1.6.0
    • EDB Postgres (IBM): 4.0.1
  • Operand: 12.7 and 13.3
This refresh of EDB Postgres includes the following features and updates:
Support for upgrade
You can now upgrade EDB Postgres from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 4.0.x
Important: Upgrade from Cloud Pak for Data 3.5.x is not supported.
Updated PostgreSQL operator
The Cloud Native PostgreSQL operator, which is packaged with EDB Postgres, is now at Version 1.6.0.
Related documentation:
Execution Engine for Apache Hadoop
  • CASE: 4.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Execution Engine for Apache Hadoop includes the following features and updates:
Support for upgrade
You can now upgrade Execution Engine for Apache Hadoop from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Version 4.0.1 of the Execution Engine for Apache Hadoop service includes various fixes. For details, see What's new and changed in Execution Engine for Apache Hadoop.
Related documentation:
Execution Engine for Apache Hadoop
Jupyter Notebooks with Python 3.7 for GPU   See Watson Studio Runtimes.
Jupyter Notebooks with R 3.6   See Watson Studio Runtimes.
IBM Match 360
  • CASE: 1.0.48
  • Operator: 1.1.14
  • Operand: 1.1.14
The 1.1.14 release of IBM Match 360 includes the following features and updates:
Support for upgrade
You can now upgrade IBM Match 360 from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 4.0.x
Version 1.1.14 of the IBM Match 360 service includes various fixes. For details, see What's new and changed in IBM Match 360.
Related documentation:
IBM Match 360 with Watson
MongoDB
  • CASE: 4.0.1
  • Operators:
    • MongoDB Enterprise (third party): 1.10.0
    • MongoDB (IBM): 4.0.1
  • Operand: 4.2.6 and 4.4.0
This refresh of MongoDB include the following features and updates:
Support for upgrade
You can now upgrade MongoDB from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Related documentation:
MongoDB
OpenPages
  • CASE: 2.0.1+20210715.004828.82030714
  • Operator: 8.203.1
  • Operand: 8.203.1
The 8.203.1 release of OpenPages includes the following features and updates:
Support for upgrade
You can now upgrade OpenPages from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 4.0.x
Important: Upgrade from Cloud Pak for Data 3.5.x is not supported.
Unprivileged mode for SCC used for Db2 as a service
The Db2 as a service instance that is provisioned by OpenPages now uses unprivileged mode for the security context constraint (SCC). This mode provides more security. Previously, the database required additional privileges.

Version 8.203.1 of the OpenPages service includes various fixes.

Planning Analytics
  • CASE: 4.0.1
  • Operator: 4.0.1
  • Operand: 4.0.1
The 4.0.1 release of Planning Analytics includes the following features and updates:
Support for upgrade
You can now upgrade Planning Analytics from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 4.0.x
Important: Upgrade from Cloud Pak for Data 3.5.x is not supported.

Version 4.0.1 of the Planning Analytics service includes various fixes.

Related documentation:
Planning Analytics
RStudio Server with R 3.6
  • CASE: 1.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of RStudio Server with R 3.6 includes the following features and updates:
Support for upgrade
You can now upgrade RStudio Server with R 3.6 from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Version 4.0.1 of the RStudio Server with R 3.6 service includes various fixes. For details, see What's new and changed in RStudio Server with R 3.6.
Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • CASE: 1.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of SPSS Modeler includes the following features and updates:
Support for upgrade
You can now upgrade SPSS Modeler from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Job retention
New retention options are available when you create or edit jobs. You can turn on the Retention Configuration option to retain a set number of finished job runs and job run logs, and choose whether to retain them by duration (days) or by quantity.
New documentation
A new Reference information section has been added, covering various topics such as tips and shortcuts, a CLEM language reference, and SPSS statistical algorithms. Additional information will be added to this section in the future, such as a scripting and automation guide.
Version 4.0.1 of the SPSS Modeler service includes various fixes. For details, see What's new and changed in SPSS Modeler.
Related documentation:
SPSS Modeler
Voice Gateway
  • CASE: 1.0.2
  • Operator: 1.0.2
  • Operand: 1.0.7
Voice Gateway is now available on Cloud Pak for Data Version 4.0.
The 1.0.2 release of Voice Gateway includes the following features and updates:
Default value of the CLUSTER_WORKERS environment variable

The default value of the CLUSTER_WORKERS Docker environment variable changed from 1 to 0. With this variable set to 0, a number of workers equal to one less than the number of CPUs is spawned.

Prometheus metrics formatting

The names of the metrics used by the monitoring feature for the Prometheus text format changed to use the prefix application_ instead of application:. For example, application:vg_max_calls_per_second becomes application_vg_max_calls_per_second.

Added support for Watson Assistant

There is added support for the Watson Assistant search response type. For more information, see Handling Watson Assistant response types.

Related documentation:
Voice Gateway
Watson Assistant
  • CASE: 4.0.0
  • Operator: 4.0.0
  • Operand: 4.0.0
Watson Assistant is now available on Cloud Pak for Data Version 4.0.
The 4.0.0 release of Watson Assistant includes the following features and updates:
Universal language
You now can build an assistant in any language you want to support. If a dedicated language model is not available for your target language, create a skill that uses the universal language model. The universal model applies a set of shared linguistic characteristics and rules from multiple languages as a starting point. It then learns from training data written in the target language that you add to it. For details, see Understanding the universal language model.
Premessage, postmessage, and log webhooks
A set of new webhooks are available for each assistant. You can use the webhooks to perform preprocessing tasks on incoming messages and postprocessing tasks on the corresponding responses. You can use the new log webhook feature to log each message with an external service. For details, see Webhook overview.
Related documentation:
Watson Assistant
Watson Assistant for Voice Interaction  
Watson Assistant for Voice Interaction is comprised of the following services:
  • Voice Gateway
  • Watson Assistant
  • Watson Speech to Text
  • Watson Text to Speech
Related documentation:
Watson Assistant for Voice Interaction
Watson Discovery
  • CASE: 4.0.0
  • Operator: 4.0.0
  • Operand: 4.0.0
Watson Discovery is now available on Cloud Pak for Data 4.0.

For information about what's new in Version 4.0.0 of the Watson Discovery service, see the release notes.

Related documentation:
Watson Discovery
Watson Knowledge Catalog
  • CASE: 4.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Watson Knowledge Catalog includes the following features and updates:
Support for upgrade
You can now upgrade Watson Knowledge Catalog from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Data discovery: quick scan results
This release includes the following changes to data discovery:
  • The View data quality permission now grants access to quick scan results.
  • You can reanalyze individual tables.
  • You can set the status Reviewed for columns.
  • You can enable overwrite of existing term assignments when results are republished.
For details, see: Reviewing and working with quick scan results
Data discovery: automated discovery
You can now select multiple folders and individual files for discovery for file connection types such as HDFS. For details, see Running automated discovery.
Export and import of all governance artifacts from a single file
You can now export all governance artifacts to a single ZIP file and import them all at once by using REST API. For details, see:
Metadata sync with external repositories
You can configure Watson Knowledge Catalog to sync governance artifacts and catalog assets with external repositories such as other instances of Watson Knowledge Catalog, IBM InfoSphere® Information Governance Catalog, or Apache Atlas. The external metadata repositories must comply with ODPi Egeria standards and support its Open Metadata Repository Services (OMRS). Synchronization between the repositories happens through participation in an Egeria cohort.

For details, see: Synchronizing with an external repository

Tech preview This is a technology preview and is not supported for use in production environments.

Improved performance in governance workflows
The performance was improved for workflow tasks with larger sets of data, for example when you import governance artifacts.
Support for new connection type
Watson Knowledge Catalog can now connect to SQL Query.
Support for additional data sources
Metadata import now supports the following data sources:
  • MariaDB
  • Snowflake
  • SQL Query
Support for tags in categories
You can now assign one or more tags to a category.

For details, see: Managing categories

Version 4.0.1 of the Watson Knowledge Catalog service includes various fixes. For details, see What's new and changed in Watson Knowledge Catalog.
Related documentation:
Watson Knowledge Catalog
Watson Machine Learning
  • CASE: 4.0.2
  • Operator: 1.1.0
  • Operand: 4.0.1
The 4.0.1 release of Watson Machine Learning includes the following features and updates:
Support for upgrade
You can now upgrade Watson Machine Learning from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x

After you upgrade Watson Machine Learning, review Working with assets after an upgrade.

Support for new frameworks
Build and deploy machine learning models using an expanded set of popular frameworks, including frameworks built on Python 3.8.
Custom URLs
Generate a custom URL to serve an online deployment. For details, see Creating an online deployment.
Assign a deployment owner
If a deployment owner leaves a space, you can assign a new deployment owner to keep the deployment available for use. For details, see Updating a deployment.
Version 4.0.1 of the Watson Machine Learning service includes various fixes. For details, see What's new and changed in Watson Machine Learning.
Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • CASE: 2.3.1
  • Operator: 1.0.1
  • Operand: 2.3.1
The 2.3.1 release of Watson Machine Learning Accelerator includes the following features and updates:
Support for upgrade
You can now upgrade Watson Machine Learning Accelerator from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • CASE: 2.1.0
  • Operator: 1.1.0
  • Operand: 4.0.1
The 4.0.1 release of Watson OpenScale includes the following features and updates:
Support for upgrade
You can now upgrade Watson Studio from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x

Ensure that you review the guidance in Upgrading the Watson OpenScale service before you upgrade the service.

Version 4.0.1 of the Watson OpenScale service includes various fixes.
Related documentation:
Watson OpenScale
Watson Speech to Text
  • CASE: 4.0.0
  • Operator: 4.0.0
  • Operand: 4.0.0
Watson Speech to Text is now available on Cloud Pak for Data Version 4.0.

For a list of new features in Watson Speech to Text, see the Watson Speech to Text release notes for IBM Cloud Pak for Data.

Related documentation:
Watson Speech to Text
Watson Studio
  • CASE: 2.0.1
  • Operator: 2.0.1
  • Operand: 4.0.1
The 4.0.1 release of Watson Studio includes the following features and updates:
Support for upgrade
You can now upgrade Watson Studio from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
Migrating existing Python environments from
Starting with Cloud Pak for Data Version 4.0, all of the default Python environments that are included with Watson Studio use the latest versions of open source libraries from the Open Cognitive Environment (Open-CE) rather than from IBM Watson Machine Learning Community Edition (WML-CE).

Cloud Pak for Data Version 4.0.x no longer supports WML-CE integration. For details on migrating your existing environments to Open-CE, see Migrating Python environments from Cloud Pak for Data 3.5.

Support for Python 3.8
When you install Watson Studio, the Jupyter Notebook with Python 3.8 runtime is automatically installed.

The Jupyter Notebooks with Python 3.8 for GPU runtime is available through the Watson Studio Runtimes service.

You can select these environments in notebooks and Python scripts.

Support for job features
Watson Studio now support job notifications and job retention.
Support for a new connection type
Watson Studio can now connect to SQL Query.
Version 4.0.1 of the Watson Studio service includes various fixes. For details, see What's new and changed in Watson Studio.
Related documentation:
Watson Studio
Watson Studio Runtimes
  • CASE: 1.0.1
  • Operator: 1.0.1
  • Operand: 4.0.1
The 4.0.1 release of Watson Studio Runtimes includes the following features and updates:
Support for upgrade
You can now upgrade Watson Studio Runtimes from the following Cloud Pak for Data releases:
  • Cloud Pak for Data Version 3.5.x
  • Cloud Pak for Data Version 4.0.x
New Python 3.8 for GPU environment
You can optionally install the Jupyter Notebooks with Python 3.8 for GPU runtime.

For details, see: Installing Jupyter Notebooks with Python 3.8 for GPU runtime.

Version 4.0.1 of the Watson Studio Runtimes service includes various security fixes. For details, see What's new and changed in Watson Studio Runtimes.
Related documentation:
Jupyter Notebook runtimes for Watson Studio
Watson Text to Speech
  • CASE: 4.0.0
  • Operator: 4.0.04.0.0
  • Operand: 4.0.0
Watson Text to Speech is now available on Cloud Pak for Data Version 4.0.

For a list of new features in Watson Text to Speech, see the Watson Text to Speech release notes for IBM Cloud Pak for Data.

Related documentation:
Watson Text to Speech

What's new in Version 4.0

IBM Cloud Pak for Data 4.0 introduces operator-based installations, an improved user management experience, more platform monitoring data from the web client, and an improved connections interface. In addition, Cloud Pak for Data 4.0 includes new services, like IBM Match 360 with Watson and Product Master, and enhancements to existing services, such as Watson Knowledge Catalog, Decision Optimization, and OpenPages.

If you have an existing installation of Cloud Pak for Data 3.5, you cannot upgrade to Cloud Pak for Data 4.0. The initial release of Cloud Pak for Data 4.0 supports only new installations.

Platform enhancements

The following table lists the new features that were introduced in Cloud Pak for Data Version 4.0.

What's new What does it mean for me?
Adoption of IBM Cloud Pak foundational services
In previous releases of Cloud Pak for Data, you could optionally install the IBM Cloud Pak foundational services on your cluster to integrate IAM Service and the License Service.

In Cloud Pak for Data Version 4.0, the IBM Cloud Pak foundational services are a prerequisite and Cloud Pak for Data integrates with additional features from IBM Cloud Pak foundational services:

Operand Deployment Lifecycle Manager (ODLM)
ODLM enables Cloud Pak for Data services to orchestrate and manage their dependencies.

For details about ODLM, see the IBM/operand-deployment-lifecycle-manager repository on GitHub.

Namespace Scope Operator
The Namespace Scope Operator enables the Cloud Pak for Data operators and the IBM Cloud Pak foundational services operators to be deployed in the same namespace and to manage the namespaces where Cloud Pak for Data services are deployed.

The Namespace Scope Operator can be used in tandem with the ownNamespace operator group to improve security in shared clusters. Combining these means that you do not need to grant cluster-wide authority to the Cloud Pak for Data operators and the IBM Cloud Pak foundational services operators.

For details about the Namespace Scope Operator, see:
Certificate manager
Cloud Pak for Data uses the Certificate manager to generate
  • TLS root CA Certificates
  • TLS certificates and keys for secure internal communications between microservices.

For details, see IBM Certificate manager in the IBM Cloud Pak foundational services documentation.

Identity and Access Management Service (IAM Service)
The IAM Service enables Cloud Pak for Data to use multiple identity providers for authentication. Additionally, the service enables single sign-on across multiple IBM Cloud Pak installations.

By default, Cloud Pak for Data is not integrated with the IAM Service. Review Security on Cloud Pak for Data before you enable Cloud Pak for Data to use the IAM Service.

In addition, the Cloud Pak for Data control plane is now provided by IBM Cloud Pak foundational services. The IBM Cloud Pak for Data platform operator customizes the IBM Cloud Pak foundational services and the Red Hat OpenShift project where the Cloud Pak for Data services are installed. The platform operator also helps with the initial setup of the Cloud Pak for Data control plane.

Enhanced platform monitoring interface
In Cloud Pak for Data Version 4.0, the Platform management page has been updated and renamed to Monitoring. In addition to the status and quota information for the platform, services, service instances, environments, and pods, the page now includes:
Event and alert information
By default, Cloud Pak for Data records information for the following events:
  • A persistent volume claim (PVC) is unbound. (In other words, there is no volume that meets the specifications of the PVC.)
  • A StatefulSet or deployment has unavailable replicas.
  • A service reaches or exceeds the vCPU or memory alert threshold
  • A service reaches or exceeds the vCPU or memory quota

However, you can create custom monitors. A monitor is that checks the state of an entity periodically and generate events.

Additionally, Cloud Pak for Data issues alerts for events that are in warning or critical state for a specific period of time.

The events and alerts are accessible from the Events card on the Monitoring page. For details, see Managing the platform.

Historical use data
By default, Cloud Pak for Data stores the vCPU and memory use data for the last 30 days. You can see the platform resource use data from the last 12 hours from the Monitoring page.
Screen capture of the Platform resource use card

From the Monitoring page, you can access the Status and use page, where you can see up to 72 hours worth of data. On the Status and use page, you can see the resource use by service, services instances, environments, and pods.

For details, see Managing the platform.

User management enhancements
Cloud Pak for Data Version 4.0 includes several enhancements to user management:
More details about permissions
The Roles page now provides more information about the actions that a user can take when they have a specific permission.
New permissions for creating and managing projects and deployment spaces
Depending on the services that you have installed, the Roles page includes the following permissions:
Project permissions
  • Create projects
  • Manage projects
  • Monitor project workloads
Deployment space permissions
  • Create deployment spaces
  • Manage deployment spaces
  • Monitor deployment activity
Updated catalog permissions
The catalog permissions have been updated to separate the creation of catalogs from the management of catalogs. Users with the Create catalog permission can only create catalogs. Users with the Manage catalogs permission can:
  • Create catalogs
  • View list of all catalogs
  • Join any catalog as an Admin
  • Reconfigure the default catalog
Updated administration permissions
The administrative permissions have been updated to provide more granular control. Any permissions that are associated with the default admin user are now associated with one of the following permissions:
Platform administration permissions
  • Administer platform
  • Manage configurations
  • Manage platform health
  • View platform health
User administration permissions
  • Manage platform roles
  • Manage user groups
  • Manage users
These changes ensure that you do not need to retain the default admin user to complete specific tasks.

For details, see Predefined roles and permissions.

In addition, an administer with the appropriate permissions to manage users can use the View assigned permissions button to see a complete list of the permissions that a user has based on their assigned roles. For details, see Managing users.

Create platform connections that use shared credentials
When you create a platform connection, you can optionally use shared credentials. With shared credentials, all users use the same credentials to access the connection. Previously all platform connections required personal credentials. With personal credentials, each user must specify their own credentials to access the connection. For details, see Connecting to data sources.
Important: This feature is enabled by default. If you do not want to allow users to specify shared credentials, you must update your settings. For details, see Changing shared credentials settings.
Enhanced connections interface
When you create a new connection, the interface includes enhancements that make it easier to create the connection:
  • The Provider filter enables you to identify IBM data sources, third-party data sources, and user-defined data source types.
  • The Compatible services filter enables you to easily find the connection types that you can use with a specific service.

Alternatively, if you know the name of the connection type that you are looking for, you can enter it in the Find field.

Connection page
New Cloud Pak for Data CLI commands
The Cloud Pak for Data command-line interface (cpd-cli) is no longer used to install the Cloud Pak for Data software. However, the cpd-cli is used to complete other administrative tasks.

Starting in Cloud Pak for Data Version 4.0, the cpd-cli includes new commands:

Diagnostic command
You can use the cpd-cli diag command to gather diagnostic information about your Cloud Pak for Data deployment. For details, see Gathering diagnostics from Cloud Pak for Data services.
User management command
You can use the cpd-cli user-mgmt command to import and manage Cloud Pak for Data users. The command also enables you to import multiple users from a JSON or CSV file. For details, see Managing Cloud Pak for Data users by command line.
Support for SMB storage volumes You can now connect to external SMB file share servers from Cloud Pak for Data. For details, see Managing storage volumes.

Service enhancements

The following table lists the new features that are introduced for existing services in Cloud Pak for Data Version 4.0:

What's new Version What does it mean for me?
Analytics Engine Powered by Apache Spark
  • Operator: 1.0.01.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Analytics Engine Powered by Apache Spark service includes the following features and updates:
New version of the Spark jobs REST API
The Spark jobs REST API Version 2 is deprecated and replaced by Version 3, which supports additional spark-submit options. For details, see Getting started with Spark applications.
Run Spark applications interactively
You can now also run Spark applications interactively by leveraging the Kernel API. For details, see Getting started with Spark applications.
Related documentation:
Analytics Engine Powered by Apache Spark
Cognos Analytics
  • Operator: 4.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Cognos Analytics service is available on Cloud Pak for Data 4.0. This release of Cognos Analytics does not include new features or updates.
Related documentation:
Cognos Analytics
Cognos Dashboards
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Cognos Dashboards service is available on Cloud Pak for Data 4.0. This release of Cognos Dashboards does not include new features or updates.
Related documentation:
Cognos Dashboards
Data Refinery
  • Operator: 1.0.0
  • Operand: 4.0.0
Version4.0.0 of the Data Refinery service includes the following features and updates:
New Spark environment for running Data Refinery flow jobs
You can now select Default Spark 3.0 & R 3.6 when you select an environment for a Data Refinery flow job. This selection gives you the latest supported runtime environment. For details, see Data Refinery environments.
Short videos showcase the Data Refinery GUI operations
The Data Refinery GUI operations topic now includes a short video for each operation to help you learn by example.

If you have feedback on the videos, you can submit it through the Watson Studio and Machine Learning community (You must sign in to leave comments.)

Related documentation:
Data Refinery
Data Virtualization
  • Operator: 1.7.0
  • Operand: 1.7.0
Version 1.7.0 of the Data Virtualization service includes the following features and updates:
Monitor the service with Db2 Data Management Console
The Data Virtualization monitoring dashboard includes new features such as alerts and notifications, job management and scheduling, and monitoring of historical data. Additionally, the Explorer view has been renamed Data. For more information, see What's new and changed in Db2 Data Management Console.

To learn more, see Monitoring and exploring Data Virtualization.

Support for more data sources
  • You can now connect to the following data sources in Data Virtualization:
    • Denodo is supported by using the Generic JDBC connection type. For more information, see Generic JDBC connection.
  • The following data sources have been optimized to take advantage of native query capabilities:
    • Google BigQuery
    • SAP HANA
    • Snowflake
Improve cache recommendations by using machine learning models
This release of Data Virtualization extends support for recommendation-based caching by introducing machine learning based recommendations. The machine learning cache recommendation algorithm considers underlying query patterns in the workload and predicts caches that help future query workloads. Data Virtualization uses a pre-trained model that was trained on an industry standard data set. The recommendation engine consolidates and ranks the final set of recommendations from both rule-based and machine learning based models. For more information, see Managing data caches and queries.
You can also use three new APIs to manage your caches:
Improve query performance with enhanced AVG() and SUM() functions
The AVG() and SUM() functions can now process larger result sets. Queries that previously resulted in an overflow error now complete successfully. These changes improve compatibility with other relational database management systems and enable the processing of larger data sets to be processed without arithmetic overflow errors.

The precision (accuracy) of results of the AVG() function is also improved.

For more information, see:

Related documentation:
Data Virtualization
DataStage
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the DataStage Enterprise and DataStage Enterprise Plus services is available on Cloud Pak for Data 4.0. This release of DataStage Enterprise and DataStage Enterprise Plus does not include new features or updates.
Related documentation:
DataStage
Db2
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Db2 service includes the following features and updates:
Support for multiple HADR standbys
The Db2 service now supports multiple standby databases for the High Availability Disaster Recovery (HADR) feature. By creating multiple standbys, you can have your data in more than two sites, which provides improved data protection with a single technology. You can now use HADR to achieve:
  • High availability objectives
  • Disaster recovery objectives, which previously required another technology

For details, see Using multiple HADR standby databases.

Snapshot backup and restore
Db2 supports new backup and restore method that is based on the OpenShift APIs for Data Protection. This method enables snapshot backup and restore for both Kubernetes resources and storage data. Snapshot backups have significant advantages over traditional backups; snapshot backups:
  • Are completed quickly, regardless of database size
  • Allow for fast recovery
  • Do not affect many database operations, except momentarily pausing operations that perform writes.

For details, see Performing a snapshot backup.

Related documentation:
Db2
Db2 Big SQL
  • Operator: 7.2.0
  • Operand: 7.2.0
Version 7.2.0 of the Db2 Big SQL service includes the following features and updates:
Support for the LIKE url clause on the CREATE TABLE (HADOOP) statement
When you use the LIKE clause, you can specify that the table columns are to have a name and type that are most similar to columns in a file at the specified URL. For details, see CREATE TABLE (HADOOP) statement.
Support for the EXCHANGE PARTITION clause on the ALTER TABLE (HADOOP/HBASE) statement
You can move a partition from a source table to a target table and alter each table's metadata by specifying the EXCHANGE PARTITION clause on the ALTER TABLE statement. For details, see ALTER TABLE (HADOOP/HBASE) statement.
Temporary directory bypass feature for INSERT
You can bypass temporary directories when you insert data into tables that are located on object stores. The data is written directly into a table's location. Enabling this feature can significantly improve ingestion performance and reduce the total number of operations that must be run against the object stores. For details, see Bypassing temporary directories to increase the performance of insert operations into object stores.
Integration with the Cloud Pak for Data auditing service
Db2 Big SQL Version 7.2.0 integrates fully with the Cloud Pak for Data auditing service feature, providing standard auditing records for important lifecycle and security events in the service instance. For details, see Auditing Cloud Pak for Data.
Hadoop cluster support
Db2 Big SQL Version 7.2.0 can connect to Hadoop clusters on Cloudera Data Platform (CDP) Private Cloud Base 7.1.6 only.

Support for other Hadoop clusters is dropped. For details, see Removals and deprecations.

Related documentation:
Db2 Big SQL
Db2 Data Gate
  • Operator: 1.0.0
  • Operand: 2.0.0
Version 2.0.0 of the Db2 Data Gate service includes the following features and updates:
Seamless credential updates
You can update the credentials for the Db2 for z/OS source database or the Db2 target database without interrupting the synchronization flow between the two databases.

For the target database, see Creating a Db2 Data Gate instance.

Query routing support (beta)
Route your analytical Db2 for z/OS queries to a Db2 Data Gate instance to shift the query workload and save z/OS processing resources.

This feature is in beta state. Contact IBM support before using it.

Related documentation:
Db2 Data Gate
Db2 Data Management Console
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Db2 Data Management Console service includes the following features and updates:
Alerts and notifications
  • Support for availability and performance alert. You can now setup the console to trigger alerts when there is a problem related to availability and performances of a connected database.

    For details, see Setting up alerts.

  • Support for custom (user-defined) alerts. You can now define custom alerts and specify corresponding action for the alert in the monitoring profile for a database connection. With this feature, you can:
    • Create alerts based on SQL scripts.
    • Schedule alerts to run at a specific time, or to repeat at certain intervals for one or more databases that are listed in the monitoring profile.
    • Configure email and slack notifications to be sent to one or more users depending on the success of the alert.
    • View the history of all alerts that run on your databases.

    For details, see Creating custom alerts.

  • Manage alerts in notification center. You can now view alert information and share all received alerts from the notification center. The details of an alert include alert severity, status, group, problem analysis, and resolution.

    For details, see Managing alerts.

Job management and scheduling
Db2 Data Management Console now supports job creation, job scheduling, and job management for your connected databases. With this feature, you can:
  • Define jobs through SQL scripts
  • Create on-demand jobs or schedule jobs to run at a specific time for one or more databases.
  • Categorize jobs using tags
  • View logs, results, and execution status of jobs that run on the database.

For details, see Creating and scheduling jobs.

Additional KPIs for reports
Db2 Data Management Console reports now include the following key performance indicators (KPIs):
  • Transaction commits per minute
  • Transaction rollback per minute
  • Rows read per minute
  • Rows returned per minute
  • Rows modified per minute
  • Rows read per fetched row (rows read / rows returned)
  • Logical reads per minute
  • Direct reads per minute
  • Direct writes per minute
  • Lock wait time
  • Lock timeouts
  • Deadlocks
  • Lock escalations
  • Other wait time breakdown
  • I/O time breakdown
  • Other processing time breakdown
In addition, users can download the top 10 full SQL statements. System SQL statements are excluded from this list.

For details, see Creating monitor reports.

Object management
A new function called Generate DDL has been added to explore objects. The Generate DDL function extracts the Data Definition Language (DDL) statements for the identified database objects. You can use this function to generate a DDL script. The script contains statements to recreate the database objects you have selected.
Event monitoring
The Event monitoring profile page now includes the following enhancements:
  • Added support to configure table space. The Tablespace usage field displays the current table space usage for the event monitors on the database.
  • Supports workload customization for activity and statistics event monitors. Users can view the list of relevant workloads, enable, disable, and edit the collection settings for each workload for activity and statistics event monitors.
  • Added a field, Utility types under Utility tab for selecting the utilities. The following utilities are available:
    • BACKUP
    • LOAD
    • MOVETABLE
    • ONLINERECOVERY
    • REDISTRIBUTE
    • REORG
    • RESTORE
    • ROLLFORWARD
    • RUNSTATS

For details, see Setting up event monitor profile.

Support for Data Virtualization
Db2 Data Management Console now enables you to monitor historical data for Data Virtualization. Additionally, you can access the Data Virtualization without navigating to the Data Virtualization interface.
REST APIs
Db2 Data Management Console now provides REST APIs that you can use to access your monitoring data.
Persist event monitor data
To prevent the loss of data during a Db2 Data Management Console upgrade, the configurations for the event monitor profile and the monitor profile are persisted in the target database by the console.
Related documentation:
Db2 Data Management Console
Db2 Warehouse
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Db2 Warehouse service includes the following features and updates:
Support for multiple HADR standbys
The Db2 Warehouse service now supports multiple standby databases for the High Availability Disaster Recovery (HADR) feature. By creating multiple standbys, you can have your data in more than two sites, which provides improved data protection with a single technology. You can now use HADR to achieve:
  • High availability objectives
  • Disaster recovery objectives, which previously required another technology

For details, see Using multiple HADR standby databases.

Snapshot backup and restore
Db2 Warehouse supports new backup and restore method that is based on the OpenShift APIs for Data Protection. This method enables snapshot backup and restore for both Kubernetes resources and storage data. Snapshot backups have significant advantages over traditional backups; snapshot backups:
  • Are completed quickly, regardless of database size
  • Allow for fast recovery
  • Do not affect many database operations, except momentarily pausing operations that perform writes.

For details, see Performing a snapshot backup.

Related documentation:
Db2 Warehouse
Decision Optimization
  • Operator: 4.0.0
  • Operand: 4.0.04.0.0
Version 4.0.0 of the Decision Optimization service includes the following features and updates:
New Decision Optimization runtime
When you run a model in a Decision Optimization experiment, the new do_20.1 runtime is used by default. For details, see Run model view.
Support for C# models
You can delegate the Decision Optimization solve to run on Watson Machine Learning .NET (CPLEX or CPO) models. For details, see Delegating the Decision Optimization solve.
New features in the Modeling Assistant
The Modeling Assistant now provides support for:
User-defined decisions
You are no longer restricted to only using decisions deduced from your intent. You can now define your own decisions using the advanced settings and decision tabs, where you can select your decision type and its dimensions (data table or column). You can then configure new rules and objectives which use your newly defined decision.

For details, see Defining custom decisions

Multi-concept iteration
You can specify new groups of rules in natural language by combining different concepts and iterating over these combinations. For example, you can combine employees and days and then state that you want your rule to apply to each employee-day combination.

For details, see Using multi-concept iteration

Logical constraints and associated concepts
You can specify that if one constraint applies, then another constraint also applies. You can also express certain conditions in constraints more concisely and intuitively using the word associated in your natural language expression. This automatically makes the necessary logical connection between the concepts you are referring to, without you having to use more complicated join expressions.
For example, this constraint illustrates both logical constraints (if.. then) and the associated keyword in the Modeling Assistant natural language:
For each employee-day combination, 
  if (the number of assignments of Employee is equal to 0) 
    then (the number of associated Oncall duties is equal to 0 )

For details, see Using logical constraints.

For a video demonstrating these new Modeling Assistant features, see Use Decision Optimization Modeling Assistant video.

CPLEX V.20.1
CPLEX V.20.1 is now available in Watson Machine Learning. For details, see Model deployment.
Support for audit logging
Decision Optimization integrates with the Cloud Pak for Data audit logging feature. Events related to Decision Optimization experiments, scenarios and solves now generate audit records. For details, see Services that support audit logging.
Related documentation:
Decision Optimization
EDB Postgres
  • Operator:
    • PostgreSQL (third-party) 1.5.1
    • EDB Postgres (IBM): 4.0.0
  • Operand: 12.7 and 13.3
The 12.7 and 13.3 releases of EDB Postgres are available on Cloud Pak for Data 4.0. These versions of EDB Postgres do not include new features or updates.
Related documentation:
Execution Engine for Apache Hadoop
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Execution Engine for Apache Hadoop service is available on Cloud Pak for Data 4.0. Execution Engine for Apache Hadoop no longer requires a separate license to install. It is included in your purchase of Cloud Pak for Data. This release of Execution Engine for Apache Hadoop does not include new features or updates.
Related documentation:
Execution Engine for Apache Hadoop
Jupyter Notebooks with Python 3.7 for GPU
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Jupyter Notebooks with Python 3.7 for GPU service is available on Cloud Pak for Data 4.0. This release of Jupyter Notebooks with Python 3.7 for GPU does not include new features or updates.
Related documentation:
Jupyter Notebooks with Python 3.7 for GPU
Jupyter Notebooks with R 3.6
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Jupyter Notebooks with R 3.6 service is available on Cloud Pak for Data 4.0. This release of Jupyter Notebooks with R 3.6 does not include new features or updates.
Related documentation:
Jupyter Notebooks with R 3.6
MongoDB
  • Operators:
    • MongoDB Enterprise (third party): 1.10.0
    • MongoDB (IBM): 4.0.1
  • Operand: 4.2.6 and 4.4.0
This refresh of MongoDB include the following features and updates:
Deploy Ops Manager separately from MongoDB
You can now provision the MongoDB Ops Manager separately from individual MongoDB databases, which enables you to have a common Ops Manager that can work with multiple MongoDB databases and that can scale to match the number of database instances that your organization uses. Ops Manager helps you complete common tasks such as managing users and database access or configuring nodes.
Related documentation:
MongoDB
OpenPages
  • Operator: 8.203.0
  • Operand: 8.203.0
Version 8.203.0 of the OpenPages service includes the following features and updates:
Support for an external database
When you provision an OpenPages instance, you can either use the database that is provided by the OpenPages service, or you use a Db2 database on Linux that is outside of Cloud Pak for Data.

You might use an external database to meet your organization's data security requirements, for example.

For more information, see Using an external database with OpenPages

Support for tethered projects
If you use an external database, you can provision OpenPages instances into a tethered project (an isolated Kubernetes namespace). When an OpenPages instance is in a tethered project, you can manage the OpenPages instance from Cloud Pak for Data but the instance is otherwise isolated from Cloud Pak for Data and the other services that are running.

For more information, see Using an external database with OpenPages

User authentication and management
OpenPages now integrates with the user authentication and management features in Cloud Pak for Data.
  • You can now sign in to OpenPages by using your Cloud Pak for Data credentials rather than signing in through OpenPages.
  • Create and maintain users and groups in Cloud Pak for Data. Users and groups in Cloud Pak for Data are automatically synchronized with OpenPages. Role templates, profiles, and locales are still managed in OpenPages.
  • Use Cloud Pak for Data to load users and groups from your organization's LDAP server and then give the users and groups access to OpenPages.
  • OpenPages API authentication uses a JSON Web Token (JWT) through Cloud Pak for Data.
  • Integrate single sign-on (SSO) through Cloud Pak for Data.

For details, see Managing users.

Other new features and enhancements
This release of OpenPages includes additional features and enhancements that were introduced in OpenPages Version 8.2.0.3.

For details, see New features in version 8.2.0.3 in the OpenPages documentation.

Related documentation:
OpenPages
Planning Analytics
  • Operator: 4.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Planning Analytics service includes bug fixes from all the constituent components of Planning Analytics Workspace 2.0.63 SC.

For details, see IBM Planning Analytics 2.0 Fix Lists in the IBM support documentation.

Related documentation:
Planning Analytics
RStudio Server with R 3.6
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the RStudio Server with R 3.6 service includes the following features and updates:
Create custom R environment images for RStudio
You can build custom images based on the RStudio runtime image available in Watson Studio. Building custom images enables you to optimize the standard software configuration of your RStudio runtime for your application needs.

For details, see Building custom images.

Related documentation:
RStudio Server with R 3.6
SPSS Modeler
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the SPSS Modeler service includes the following features and updates:
Environment size
The default option has been changed from 4 vCPU + 12gb of RAM to 2 vCPU + 8gb of RAM. If you have compute intensive workloads that require more vCPU—such as Auto Classifier nodes, Auto Cluster nodes, Auto Numeric nodes, Auto Data Prep nodes, or Text Analytics nodes—define a custom environment size.
Interactive decision trees
An interactive tree builder is now available for the C&R Tree, CHAID, and QUEST nodes. These nodes use decision tree models to develop classification systems that predict or classify future observations based on a set of decision rules.

Previously, you could only generate a tree model automatically, where the algorithm decides the best split at each level. Now you can use the interactive tree builder to take control, applying your business knowledge to refine or simplify the tree before saving the model nugget.

For details, see The interactive tree builder.

New sample projects and tutorials
The SPSS Modeler documentation includes tutorials that are based on sample projects that you can download. For details, see the SPSS Modeler tutorials.
Simulation Evaluation (Sim Eval) node
The Sim Eval node is now available for evaluating continuous fields. For more information, see Sim Eval node.
Streaming TCM node
The Streaming TCM node has been added for building and scoring temporal causal models in one step. For more information, see Streaming TCM node.
Support for external R and Python libraries
You can now load R and Python libraries to use with the extension nodes. Also note that R 4.0 is now supported. For more information, including instructions for installing packages that your scripts require, see Extension nodes.
Upload streams
If you use SPSS Modeler desktop Version 18.3, you can now upload streams to Cloud Pak for Data directly from the desktop user interface. For details, see Saving streams to Cloud Pak for Data.
Usability improvements
The following interface changes have been made to improve usability:
  • You can now copy/paste nodes between browser tabs within the same project
  • Undo/redo functionality
  • Improvements to the Expression Builder interface, such as a new Validate button
  • Analysis node output improvements
  • Output preview improvements
Building custom images to install ODBC drivers
You can now build custom images based on the SPSS Modeler runtime images available in IBM Watson® Studio. You can use custom images to install custom ODBC drivers. To create a custom image, you need to download the image of the SPSS Modeler runtime that you want to customize, build a new custom image by adding ODBC drivers to the image you downloaded, register the new image, and finally update the environment definition you created in your project to use the new custom image. For details, see Building custom images.
New setting in the GLE node
A new setting called Perform non negative least squares is now included with GLE node in the estimation options under Parameter Estimation. Non-negative least squares (NNLS) is a type of constrained least squares problem where the coefficients are not allowed to become negative. Not all data sets are suitable for NNLS, because NNLS requires a positive or no correlation between predictors and target. For more information about using the GLE node, see GLE node.
Continuous machine learning
Model drift is the process by which models become outdated as your data changes over time. SPSS Modeler provides continuous automated machine learning to help overcome model drift.

A result of IBM research, and inspired by natural selection in biology, continuous machine learning is now available for the Auto Classifier node and the Auto Numeric node.

For details, see Continuous machine learning.

Related documentation:
SPSS Modeler
Watson Knowledge Catalog
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Watson Knowledge Catalog service includes the following features and updates:
Enhancements when importing COBOL copybooks
When you import COBOL copybooks, the relationships between the copybooks and the corresponding virtual tables are imported into the catalog.

You can also select an individual COBOL copybooks for metadata import.

In addition, the performance of importing COBOL copybook metadata is improved.

For details, see Importing metadata.

Use groups to manage data governance
You can use groups to add collaborators to:
You can also specify user groups in:

User groups are currently not supported in data quality projects.

Support for new connection types
Watson Knowledge Catalog can now connect to:
  • Databases for MongoDB
  • Microsoft Azure File Storage
In addition, the following connection names have changed:
  • Sybase is now SAP ASE
  • Sybase IQ is SAP IQ

This change impacts only the connection type names. The connection settings remain the same.

Usability improvements for metadata import
Metadata import includes support for Box as a data source. It also includes the following improvements:
  • Create and add tags to the metadata import asset
  • Directly edit the configuration from the review section
  • Edit a metadata import asset from within the asset
  • See the status of imported data assets
  • More options when setting the data scope

For details, see Importing metadata.

Assign custom attributes to default asset types
The default asset types that are included with Watson Knowledge Catalog can now have custom attributes. Because a default asset type cannot be directly modified, you use the API to apply custom attributes from one or more other asset types to the default asset type, which gives the default asset type custom attributes.

For details, see Adding assets to a catalog

Custom relationships between governance artifacts
You can now create and use custom attributes of the type relationship to define relationships between governance artifacts.

For details, see Custom attributes.

Data protection rules enhancements
You can now use column names in rule conditions, and you can mask columns based on the business terms, data classes, or tags assigned to a column or based on the column name.

For details, see Managing data protection rules.

Data discovery and data quality enhancements
Additional connections
You can now use the following connection types in quick scan, automated discovery, and data quality projects:
  • Amazon Redshift
  • Apache Kudu
  • Data Virtualization

For details, see Discovering assets.

More details in the run history of data rule sets
The run details of a data rule set now include an Output tab where you can see the output data for the configured output setting.

For details, see Running rule sets.

Quick scan results UI
You can now do bulk assignments or removals of business terms, and you can publish results at schema level.

For details, see Working with quick scan results.

Support for audit logging
Watson Knowledge Catalog integrates with the Cloud Pak for Data audit logging feature. Events in the following areas generate logs:
  • Metadata import
  • Policies
  • Policy rules
  • Profiling
  • Catalog
  • Workflow
  • Business glossary

For details, see Services that support logging.

Smaller installation footprint
You can optionally install the Watson Knowledge Catalog service without the legacy user interface that provides advanced curation and data quality.

You can choose between the core installation or the full installation. For details, see Installing Watson Knowledge Catalog.

Improved search across the platform
You can now use the global search bar to search for assets across all the projects, catalogs, and deployment spaces to which you have access. You can also search for governance artifacts across the categories to which you have access.

The search now finds results across more asset properties and governance artifacts. You can now search for exact words or phrases by surrounding search terms with double quotation marks. For details, see Searching across the platform.

Related documentation:
Watson Knowledge Catalog
Watson Machine Learning
  • Operator: 1.0.1486
  • Operand: 4.0.0
Version 4.0.0 of the Watson Machine Learning service includes the following features and updates:
Use groups to manage deployment space collaborators
You can now add a user group as a collaborator in an deployment space. All users in the group have the role that you assign to the group. For details, see Collaborator permissions for spaces.
New permission required to create deployment spaces
To create a deployment space, users must have the Manage deployment spaces or Create deployment spaces permission. Restricting who can create deployment spaces gives you more control over resource on the cluster.

By default, these permissions are only associated with the Administrator role. For details, see Predefined roles and permissions

If you are upgrading from Cloud Pak for Data Version 3.5, your existing users will not have permission to create deployment spaces unless they have the Administrator role.

To give users one of these permissions, you can edit an existing role or create a new role. For details, see Managing roles.

New permissions for managing deployment spaces
Cloud Pak for Data includes new permissions that give you more control over deployment spaces:
Manage deployment spaces permission
Users with the Manage deployment spaces permission can:
  • Create deployment spaces
  • View list of all deployment spaces
  • Join any deployment space as an Admin
  • View deployment activity across all spaces
Monitor deployment activity permission
Users with the Monitor deployment activity permission can:
  • View list of all deployment spaces
  • View deployment activity across all spaces

For details, see Collaboration permissions.

Use a connection asset to secure credentials
Previously, when you accessed connected data as an input to a deployment, you had to enter authentication credentials with every connection attempt. Now, you can use the connection_asset type to refer to the data source connection by its ID. This method improves security by eliminating the need to enter authentication details multiple times. For details, see Batch deployment details.
Support for additional frameworks
Watson Machine Learning includes support for an expanded set of popular frameworks and software specifications for building and deploying machine learning models.
AutoAI training enhancements
Now you can train AutoAI experiments with:
An expanded list of data sources
AutoAI experiments now support an expanded set of data sources.
Joined data sets
Tech preview You can optionally combine multiple data sources that share a common column (key) and use that data to train AutoAI experiments. For details, see Building an AutoAI experiment with joined data.
AutoAI time series experiments
Tech preview Use AutoAI time series experiments to predict future activity based on history, sequential data. For details, see Creating a time series experiment.
Save AutoAI experiment code to a notebook
You can save all of the AutoAI experiment code to a notebook, where you can review all of the transformations and feature engineering that was used to create the model pipelines. For details, see, Saving an AutoAI generated notebook.
Manage the lifecycle of models with the cpdctl CLI
You can use the cpdctl command-line interface (CLI) to manage lifecycle of a model in Cloud Pak for Data. The cpdctl CLI helps you automate the end-to-end flow, from creating projects, to training models, to creating deployment jobs. For details, see Managing AI lifecycle with cpdctl.
Support for additional data sources for SPSS models
Watson Machine Learning supports additional input data sources for deploying an SPSS model. For details, see Batch deployment details.
Centralized job management
Simplify your DevOps process by promoting notebooks to deployment spaces, which give you a centralized place to manage jobs. For details, see Deployment spaces.
Federated Learning
Tech preview Federated Learning provides new ways for you to tune your experiments, including support for:
  • A party threshold metric (quorum)
  • Terminating an experiment when experiment accuracy thresholds are not met

For details, see Federated learning.

New authentication method
Watson Machine Learning supports an additional authentication method for Cloud Pak for Data environments that use the IBM Cloud Pak foundational services Identity and Access Management Service (IAM Service) to authenticate. For details, see Authentication.
Related documentation:
Watson Machine Learning
Watson Machine Learning Accelerator
  • Operator: 1.0.0
  • Operand: 2.3.0
Version 2.3.0 of the Watson Machine Learning Accelerator service includes the following features and updates:
Support for new deep learning libraries
Watson Machine Learning Accelerator now includes support the following deep learning libraries:
  • TensorFlow 2.4.1
  • PyTorch 1.7.1
  • NVIDIA CUDA Toolkit 11.0, which supports NVIDIA Ampere 100 GPU
Support for high availability
You can deploy highly available instances of Watson Machine Learning Accelerator with multiple active replicas.

For details, see Installing Watson Machine Learning Accelerator.

Support for OpenShift Container Storage
You can now install Watson Machine Learning Accelerator with OpenShift Container Storage.

For details, see Storage requirements.

Support for audit logging
Watson Machine Learning Accelerator integrates with the Cloud Pak for Data audit logging feature. The following events generate logs:
  • Batch training create, read and update
  • Notebook create, read and update
  • Resource Plan create, read and update
  • Hyperparameter optimization create, read and update
  • Inference deployment create, read and update
  • Inference model create, read and update
  • Platform application read and stop

For details, see Services that support audit logging.

Related documentation:
Watson Machine Learning Accelerator
Watson OpenScale
  • Operator: 1.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Watson OpenScale service includes the following features and updates:
Support for additional capabilities in batch environments
You can now use the following capabilities in batch environments:
  • Generate explanations for every record
  • Detect bias
  • Compute fairness metrics on your training data

For details, see Batch processing.

Support for Db2 as a data source in batch environments
Previously, Db2 was supported as a data source only for online subscriptions. Now, you can use Db2 as a data source in batch environments for payload, feedback, and training data. For details, see Batch processing.
Support for JDBC connections
You can now use a JDBC connection type when you configure data sources. For details, see Configuring the batch processor.
Use a remote instance of Watson Machine Learning
You can now bind a machine learning provider to:
  • Watson Machine Learning on IBM Cloud
  • Watson Machine Learning on another instance of Cloud Pak for Data

In addition, this release of Watson OpenScale provides enhanced usability for local instances of Watson Machine Learning.

Latest version of scikit-learn
Retrain your drift model to use the latest libraries that are available in scikit-learn 0.24. Beginning in Watson OpenScale on Cloud Pak for Data Not applicable, drift detection models that are built on scikit-learn 0.20.1 will stop working. For details, see Configuring the drift detection monitor.
Related documentation:
Watson OpenScale
Watson Studio
  • Operator: 2.0.0
  • Operand: 4.0.0
Version 4.0.0 of the Watson Studio service includes the following features and updates:
Use groups to manage project collaborators
You can now add a user group as a collaborator in an analytics project. All users in the group have the role that you assign to the group. For details, see Project collaborators.
Python environments use libraries from Open Cognitive Environment (open-CE)
In IBM Cloud Pak for Data 4.0, all default environments with Python included in Watson Studio use the latest open source versions of many popular machine learning libraries like TensorFlow, XGBoost and PyTorch from the Open Cognitive Environment (Open-CE). For details, see Environments.
New permission required to create projects
To create a project, users must have the Manage projects or Create projects permission. Restricting who can create projects gives you more control over resource on the cluster.

By default, these permissions are only associated with the Administrator role. For details, see Predefined roles and permissions

If you are upgrading from Cloud Pak for Data Version 3.5, your existing users will not have permission to create projects unless they have the Administrator role.

To give users one of these permissions, you can edit an existing role or create a new role. For details, see Managing roles.

Notebooks support more data source connections
You can now use the Insert to code function in notebooks with more database connections. For details, see Data load support.
Access assets with the ibm-watson-studio-lib library
The ibm-watson-studio-lib library provides convenient access to the assets in analytics projects or in deployment spaces.

The ibm-watson-studio-lib library replaces the project-lib library, which is deprecated.

For details on the advantages of using this new asset library in notebooks in projects or spaces, see Using ibm-watson-studio-lib.

Promote notebooks to deployment spaces
You can promote notebooks to deployment spaces, then deploy them and make the URL available to users. You can do this manually from a project, or programmatically by using CPDCTL commands. For details, see Promoting notebooks to spaces.
New version of JupyterLab
JupyterLab is now at Version 3.0, which includes several Elyra 2.x extensions to the JupterLab interface. These extensions enhance the development of data science and AI models. For details about which Elyra extensions are included, see JuypterLab.
Support for new connection types
Watson Studio can now connect to:
  • Databases for MongoDB
  • Microsoft Azure File Storage
In addition, the following connection names have changed:
  • Sybase is now SAP ASE
  • Sybase IQ is SAP IQ

This change impacts only the connection type names. The connection settings remain the same.

Related documentation:
Watson Studio

New services

The following table lists the new services that are introduced in Cloud Pak for Data Version 4.0:

Category Service Pricing What does it mean for me?
AI IBM Match 360 with Watson Included with Cloud Pak for Data

IBM Match 360 with Watson on IBM Cloud Pak for Data seamlessly consolidates data from disparate sources to establish a single, trusted, 360-degree view of your customers.

Information about your customers can come from multiple sources across your business. Use IBM Match 360 with Watson to simplify the process of creating a 360-degree view of your customers. Consolidate data from:
  • Existing master data management systems
  • Transactional data sources
  • Clickstream data sources
Easier for data engineers
When you add a new data source to IBM Match 360, the service generates a customizable data model, reducing the need to manually map attributes. After you load data, you can run a matching algorithm to create enriched master data entities. You can also tune and train the algorithm to improve future matches.
Accessible to your enterprise
Business users can access IBM Match 360 to search, explore, and analyze master data entities. The service also includes a rich set of APIs that your applications can use to access trusted master data.

Operator: 1.0.0

Operand: 1.0.0

Related documentation:
IBM Match 360 with Watson
Data governance IBM Product Master Separately priced
Use IBM Product Master to centralize and optimize your enterprise’s product information. IBM Product Master creates a single, accurate, and up-to-date registry of product and service information that your business can use for strategic initiatives such as automating ingestion and governance of product information.
Product Master provides trusted product management information and collaborative master data management capabilities, such as:
Persona-targeted view of information
Provide users with easy access to their personalized daily tasks, while controlling system access based on roles and privileges.
Adaptive data model
Define and adapt data models with an easy-to-use UI.
Data governance
Streamline processes, rules, and validations and maintain data quality with highly scalable workflows and business performance management capabilities.
Data integration
Create on-demand or scheduled jobs to integrate product information in real-time across your enterprise. Use built-in connectors to integrate with enterprise resource planning software like SAP, JD Edwards, and e-commerce providers like Amazon and eBay.
Digital asset management
Manage unstructured digital assets like images, videos, and PDFs, and multiple file formats all in one interface.
Machine-learning-assisted data stewardship
Use machine learning to accelerate manual tasks, shorten review cycles, and improve data quality. Use machine-learning-based product categorization and data enrichment features to automate tedious and time-consuming manual tasks such as categorizing product names, enriching product attributes, and standardizing product descriptions.

Operator: 1.0.0

Operand: 1.0.0

Related documentation:
Product Master

Installation enhancements

What's new What does it mean for me?
Red Hat OpenShift Container Platform support
You can deploy Cloud Pak for Data Version 4.0 on the following versions of Red Hat OpenShift Container Platform:
  • Version 4.6
Operator-based installation
The Cloud Pak for Data control plane and services are installed using operators, which simplify the process of upgrading, scaling, and rolling back software on Red Hat OpenShift Container Platform.

For an overview of operators, see the Red Hat OpenShift: Operators Framework video from Red Hat. (This video is also available on YouTube: https://www.youtube.com/watch?v=LymzLHRbQdk.)

For details on installing Cloud Pak for Data and Cloud Pak for Data services, see Installing Cloud Pak for Data.

Cloud Pak for Data Version 4.0 offers two installation methods for installing the control plane:
Express® installation
This method enables you to install the Cloud Pak for Data control plane with fewer manual steps. However, it offers less control over namespace scoping. Additionally, you must be a Red Hat OpenShift cluster administrator to use this installation method.
Specialized installation
This method provides more control over your environment. However, it requires additional manual steps. A Red Hat OpenShift project administrator can complete some of the steps after a cluster administrator completes the initial setup.
Both of the options are explained in more detail in:
Fewer custom security context constraints
Starting in Cloud Pak for Data Version 4.0, many services can use the default restricted security context constraint (SCC).

However, some services still require custom SCCs. For details about which services require custom SCCs, see Creating custom security context constraints for services.

Removals and deprecations

What's changed What does it mean for me?
Support for Red Hat OpenShift Container Platform Version 3.11
You cannot install Cloud Pak for Data Version 4.0 on Red Hat OpenShift Container Platform 3.11.

If you have an existing cluster on Red Hat OpenShift Container Platform 3.11, you must upgrade to Red Hat OpenShift Container Platform 4.6.

Support for Red Hat OpenShift Container Platform 4.5
You cannot install Cloud Pak for Data Version 4.0 on Red Hat OpenShift Container Platform 4.5.

If you have an existing cluster on Red Hat OpenShift Container Platform 4.5, you must upgrade to Red Hat OpenShift Container Platform 4.6.

Services that are not releasing on Cloud Pak for Data Version 4.0
The following services cannot be deployed on Cloud Pak for Data Version 4.0:
  • Db2 for z/OS Connector
  • Edge Analytics
  • Financial Crimes Insight®
  • Master Data Connect
  • Streams
  • Streams Flows
  • Watson Knowledge Studio
  • Watson Language Translator

If you need to use any of these services, you must use Cloud Pak for Data Version 3.5.

Connecting to CDH and HDP clusters from Db2 Big SQL Starting in Cloud Pak for Data Version 4.0, Db2 Big SQL does not support connecting to Hadoop clusters on:
  • Cloudera Distribution for Hadoop (CDH)
  • Hortonworks Data Platform (HDP)
adm, install, and scale commands are removed from the Cloud Pak for Data CLI
In Cloud Pak for Data Version 4.0, the following commands are no longer included in the Cloud Pak for Data command-line interface (cpd-cli):
  • adm
  • install
  • scale

Instead, the control plane and services are installed and managed through operators.

Previous releases

Looking for information about previous releases? See the following topics in IBM Documentation: