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Introducing IBM dashDB and IBM DataWorks

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As part of our IBM Insight conference this week, we are introducing some exciting new capabilities and updates to our data services in Bluemix.

Introducing IBM DataWorks

As a brand new Beta offering on Bluemix, we are introducing IBM DataWorks. We announced the following services, exposed as REST APIs, that are available today:

  • Load data – move data from cloud sources to cloud targets.
  • Cleanse addresses – validate and improve the accuracy of your location data by standardizing US addresses.
  • Profile data – gather information about data (such as data types), identify high value data attributes (such as national IDs), and classify data so you can take appropriate action – such as masking data before moving it.



In addition to the above APIs, we also announced that the following APIs are future state capabilities you can also expect from us:

  • Provision masked data – mask sensitive data at the source while it is moved.
  • Securely load data – access on-premises data from the cloud, using a secure gateway.
  • Probabilistic match – match customer information within and across sources by using patented probabilistic fuzzy match algorithms.

In addition to the stand alone Bluemix service, IBM DataWorks services are also embedded within IBM Watson Analytics and are available with IBM dashDB.

For more information on how to get started, check out the DataWorks docs for samples and additional details on the APIs and their concepts.

IBM Analytics Warehouse is now IBM dashDB

This name change represents IBM’s goal to continually deliver data and analytics through a simple, high-performance experience.

This update is not only a name change, however. We are introducing new capabilities like in-database analytic functions, which allow you to run analytics wherever that data resides within your warehouse. These analytic functions help accelerate your application performance when executing analytical queries. For example, you can now use geospatial libraries to load and access location data within IBM dashDB for analysis and visualization purposes. Additionally, we have updated the R language capabilities with RODBC and bluR packages to simplify access and sharing of R objects.

These changes will not require any changes for you at the application level. However, if your application behavior experiences functional regressions, please post the issue in the developer community.

Finally, with this update, IBM dashDB adds new tutorials, sample data, and instructional videos to assist in you in exploring these powerful capabilities. Visit the dashDB docs to get started.

Connect with us

As always, if you have any questions, post to the forums because we are listening and would love your feedback and to help you get started with these new capabilities.

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