SSAO5N - Documentation Index

Table of Contents

• Welcome
• Overview
  • What's new in watsonx.data
  • watsonx.data deployment options and plans
  • Platform UI and Console UI comparison
  • Platform architecture
    • Asset types and properties
      • Searching for assets
      • Previews
      • Profiles
      • Relationships
      • Activities
    • Object storage for workspaces
  • AI assistants and agents
  • Services
    • Regional availability
    • IBM Cloud Services
      • Creating services
      • watsonx.data plans
        • Billing details for watsonx.data as a Service
      • watsonx.ai Studio service plans
        • Billing details for watsonx.ai Studio
      • watsonx.ai Runtime plans
        • Billing details for generative AI assets in watsonx.ai Runtime
      • watsonx.data intelligence plans and billing
      • watsonx.data integration plans and billing
      • Cloud Object Storage plans
    • AWS services
    • AWS GovCloud services
    • Astra DB pricing
    • Astra Managed Clusters pricing plans
    • Azure services
  • FAQs
    • Language support
    • Browser support
    • Preview releases
    • Notices
    • Accessibility
  • Known issues for the platform UI
  • Known issues for the console UI on IBM Cloud
  • Known issues on AWS
  • Getting help
• Getting started and tutorials
  • Signing up for the Lite plan
  • Joining your organization's watsonx.data account
  • Switching between experiences
  • Creating task credentials
  • Generating an API key and bearer token
  • watsonx APIs and SDKs
  • Tutorials
    • Getting started with the watsonx.data Lite plan
    • Gen AI lakehouse tutorial
    • Quick start watsonx.data console
    • Getting started with your query engine
    • Adding storage and querying data
    • Integrating watsonx.ai with watsonx.data for retrieval-augmented generation (RAG)
    • Retrieving parameter values
    • Data ingestion, Time travel, and Table rollback
    • Connecting and Querying across multiple data sources
    • Spark application REST API
  • AI solution accelerators
    • Q&A RAG accelerator
    • Medallion accelerator
• Projects
  • Shared projects across experiences
  • Creating a project
    • Importing a project
    • Importing project assets
  • Administering projects
    • Managing collaborators
    • Project collaborator roles
    • Marking a project as sensitive
    • Managing task credentials
    • Adding associated services
    • Exporting project assets
    • Enabling folders
    • Defining default settings for tools
      • Unstructured Data Integration
  • Managing assets in projects
  • Downloading data assets
  • Choosing compute resources for tools
    • Working with pipelines
    • Compute options for the notebook editor
    • Compute options for Pipelines
  • Managing compute resources
    • Creating non-standard environment templates
    • Customizing environment templates
    • Runtime usage
  • Creating and managing jobs
    • Creating jobs in the Notebook editor
    • Creating Jobs for Spark Application Submission - new
    • Creating jobs for Pipelines
    • Viewing jobs across projects
  • Adding catalog assets to a project
  • Publishing assets to a catalog
  • Leaving a project
  • Markdown cheatsheet
• Preparing data
  • Adding data to a project
    • Adding very large files to a project
    • Adding connections to projects
    • Adding integrated service connectors
    • Connecting to data behind a firewall
    • Adding data from a connection
    • Adding a connected folder asset from a connection
  • Connectors
    • Amazon S3 connection
      • Setting up temporary credentials or a Role ARN for Amazon S3
    • Box connection
    • ClickHouse connection
    • Collibra connection
    • Confluence connection
    • Google Cloud Storage connection
    • Google Drive connection
    • IBM Cloud Object Storage connection
      • Controlling access to Cloud Object Storage buckets
    • IBM Cloud Object Storage (infrastructure) connection
    • IBM Db2 connection
    • IBM FileNet P8 connection
    • IBM Netezza Performance Server connection
    • IBM watsonx.data Milvus connection
    • IBM watsonx.data Presto connection
    • IBM watsonx.data SharePoint connection
    • Microsoft Azure Data Lake Storage connection
    • IBM watsonx.data SharePoint connection
    • Microsoft SharePoint Files connection
    • Microsoft SharePoint connection
    • Microsoft SQL Server connection
    • Oracle connection
    • PostgreSQL connection
    • Snowflake connection
    • Splunk connection
  • Adding platform connections
    • Managing collaborators on platform connections
  • Building custom connectors with Connector forge
    • Creating and deploying custom connectors
    • Troubleshooting custom connectors
  • Parametrized connections
  • Data protection with data source definitions
    • Protection solutions for data source definition
    • Connectors that support data source definitions
    • Connectors with hard-coded data source identity properties
    • Roles and asset privacy settings for data source definitions
    • Creating a data source definition
      • Creating a data source definition from the Data source definition list
      • Adding endpoints to a new or existing data source definition
    • Creating a connection from the Data source definitions list
    • Setting connection limits for data source definitions
    • Managing data source definitions
  • Orchestrating tasks with Orchestration Pipelines
    • Getting started with Pipelines
      • Planning a pipeline
    • Creating a pipeline
      • Configuring pipeline nodes
      • Managing default settings
      • Configuring global objects
      • Adding conditions to a pipeline
        • Functions used in pipelines Expression Builder
      • Handling pipeline errors
      • Programming a pipeline
      • Creating custom components
    • Running and saving pipelines
    • Configuration management for Orchestration Pipelines
• Managing watsonx.data infrastructure
  • Presto (Java)
  • Presto (C++)
  • watsonx.data Spark engine
  • Apache Gluten accelerated Spark engine
  • Catalogs
  • Metadata Service
  • Data Access Service (DAS)
  • Milvus
  • Query Optimizer
  • Presto (Java) mixed-case support
  • API customization
  • Data Gate
  • Accessing data in external data platforms
  • Metadata Service
  • Resource groups
  • Access management and governance
  • Gathering diagnostics
  • OpenTelemetry
  • IBM Manta Data Lineage
  • Customizing max pool size in Metadata Service
  • Provisioning a Presto (Java) engine
  • Provisioning a Presto (C++) engine
  • Provisioning a serverless Spark engine for Lite plan
  • Provisioning a Spark engine
  • Provisioning Apache Gluten accelerated Spark engine
  • Managing watsonx.data Spark
    • Customization overview
    • Managing Spark engine capacity
    • Managing native Spark engine details
      • Managing the Spark engine details
      • View and edit native Spark engine details
      • Associating or dissociating catalogs
      • View and manage applications
      • Spark user interface
      • Scaling native Spark engine
  • Registering an engine
  • Managing engines
  • Associating a catalog with an engine
  • Exploring the catalog objects
  • Dissociating a catalog from an engine
  • Configuring Presto resource groups
  • Adding storage
    • IBM Cloud Object Storage
    • Amazon S3
    • IBM Storage Ceph
    • MinIO
    • Hadoop Distributed File System (HDFS)
    • Google Cloud Storage
    • Azure Data Lake Storage
    • Apache Ozone
    • Custom S3 storage
  • Adding multiple Apache Iceberg catalogs to a single storage
  • Exploring the storage details and objects
  • Editing storage details
  • Deleting a storage-catalog pair
  • Setting up GlusterFS replicated storage with MinIO
  • Disabling or enabling ACL on an ACL-enabled storage
  • Registering external data into
  • Adding data source
    • Apache Druid
    • Apache Kafka
    • Apache Phoenix
    • Apache Pinot
    • Amazon Redshift
    • BigQuery
    • Apache Cassandra
    • ClickHouse
    • HANA
    • IBM Db2 for i
    • Elasticsearch
    • IBM Data Virtualization Manager
    • IBM Db2
    • IBM Netezza
    • IBM Db2 for z/OS
    • IBM Informix
    • MongoDB
    • MySQL
    • Oracle
    • PostgreSQL
    • Prometheus
    • Redis
    • SingleStore
    • Snowflake
    • SQL Server
    • Teradata
    • Custom
    • Arrow Flight service
      • Apache Derby
      • Greenplum
      • MariaDB
      • Salesforce
  • Updating data source credentials
  • Editing data source details
  • Deleting a data source-catalog pair
  • Managing IAM access for
  • Managing user access
  • Managing roles and privileges
  • Managing data policy rules
  • Common Policy Gateway (CPG) connector
  • Enabling or disabling common policy gateway engines
  • Protecting your lakehouse with context-based restrictions
  • Introduction to OpenRAG
  • Quick start: Provision OpenRAG and OpenSearch
  • Adding an OpenRAG service
  • Astra DB in watsonx.data
    • Adding an Astra DB service
    • Terminating an Astra DB service
    • Viewing Astra DB database details
    • Creating an application token
    • Creating a custom role in Astra DB
    • Managing access control for Astra DB service
  • Semantic automation for data enrichment
    • Registering and activating semantic layer
    • Enriching data with semantic automation layer
    • Performing semantic searches
  • Driver manager
  • Billing and usage
  • Connecting to Presto server
  • Account‑scoped metadata model
• Engineering data
  • Engineering structured data
    • Exploring Data manager
      • About Data manager
      • Creating schemas using the web console
      • Creating tables using the web console
    • Ingesting data using web console
      • Overview of data ingestion
      • Ingesting data by using the Spark ingestion UI
        • Ingesting data from a local system
        • Ingesting data from remote storage
        • Ingesting data from databases
        • Migrating data from Delta Lake to Iceberg tables
        • Ingesting streaming data by using Spark Stream (Experimental)
        • Accessing Spark logs for ingestion jobs
      • Ingesting data from object storage bucket
    • Querying data
      • Running SQL queries
      • About Visual Explain
    • Query Optimizer
      • Activating Query optimizer
      • Managing statistical updates
      • Syncing Query optimizer manager with metastore
      • Verifying table sync
      • Enhancing statistics for synced Iceberg tables
      • Updating query rewrite timeout
      • Upgrading Query Optimizer
      • Deactivating Query optimizer manager
    • Query history
      • Exporting and importing the query history
    • Overview
    • Configuring Query monitoring
    • Analyzing diagnostic data
      • Managing diagnostic data from user interface
      • Managing diagnostic data by manual method
    • Retrieving QHMM logs by using ibm-lh utility
    • QHMM Shell Script usage
  • Working with Spark
    • Introduction to watsonx.data Spark
    • Spark application runtime
      • Spark application submission methods
        • Submitting Spark application by using native Spark engine
        • Console submission
      • Spark scenarios and use-cases
        • Enabling application autoscaling
        • Data Processing with Spark Streaming
        • Enhancing Spark application submission using Spark access control extension
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    • Query Server runtime
      • Connecting to Spark query server by using Spark JDBC Driver
    • Jupyter Notebook runtime
    • Visual Studio Code runtime
      • VS Code development environment - Spark labs
      • Monitoring and debugging Spark applications from Spark labs
    • Monitoring and debugging
      • Debug the Spark application
      • Accessing the Spark history server
      • Monitoring Spark application runs by using Databand
        • Track Spark applications
    • Data management
      • Spark table maintenance by using IBM cpdctl
      • Submitting Spark jobs for MoR to CoW conversion
      • Working with different table formats
      • Submitting Spark runtimes to migrate Delta Lake tables to Apache Iceberg
  • Querying data with Data workbench
    • Creating a data product
    • Table Optimizer
      • Table Optimizer configuration options
  • Interacting with data through an MCP server
    • Setting up the remote MCP server
    • Setting up a local MCP server
  • Finding and querying data in metastores
    • Creating new data source
    • Creating new Schema
    • Running SQL queries in SQL worksheets
  • Getting connection information
  • SQL statements, data types and mixed-case behavior supported by Presto
    • Presto SQL statements
    • Presto data types
    • Mixed-case behavior based on connectors
  • IBM Cloud Pak for Data Command Line Interface (IBM cpdctl)
    • Downloading and installing IBM Cloud Pak for Data Command Line Interface (IBM cpdctl)
    • Supporting commands and usage for watsonx.data in IBM cpdctl
      • config commands and usage
      • wx-data commands and usage
      • Additional information about cpdctl wx-data command usage and examples
      • Additional information about ingestion command usage and special cases
• Analyzing data
  • Notebooks and scripts
    • Planning your notebooks and scripts experience
    • Jupyter Notebook editor
      • Creating and managing notebooks
      • Parts of a notebook
      • Jupyter kernels and notebook environments
      • Coding and running notebooks
    • Libraries and scripts
      • Installing custom libraries
      • Importing scripts into a notebook
    • Watson Natural Language Processing
      • Working with pre-trained models
      • Library task catalog
        • Language detection
        • Syntax analysis
        • Noun phrase extraction
        • Keyword extraction and ranking
        • Entity extraction
        • Embeddings
        • HAP detection
        • Sentiment extraction
        • Tone classification
        • Emotion classification
        • Relations extraction
        • Hierarchical categorization
          • Category types
      • Creating your own models
        • Detecting entities with a custom dictionary
        • Detecting entities with regular expressions
        • Detecting entities with a custom transformer model
        • Classifying text with a custom classification model
        • Extracting sentiment with a custom transformer model
        • Extracting targets sentiment with a custom transformer model
      • Usage samples
    • Key Point Summarization
    • Geospatial data analysis
    • Data skipping for Spark SQL
    • Parquet encryption
      • Key management by application
      • Key management by KMS
    • Time series analysis
      • Using the time series library
      • Time series key functionality
      • Time series functions
      • Time series lazy evaluation
      • Time reference system
    • SPSS predictive analytics algorithms
      • Data preparation
      • Classification and regression
      • Clustering
      • Forecasting
      • Survival analysis
      • Score
    • Loading and accessing data in a notebook
      • Loading data through generated code snippets
      • Accessing data in an AWS S3 bucket
      • Manually adding the project access token
      • Accessing project assets with ibm-watson-studio-lib
        • ibm-watson-studio-lib for Python
        • ibm-watson-studio-lib for R
      • Using Python functions to work with IBM Cloud Object Storage
    • Managing the notebooks and scripts lifecycle
      • Sharing notebooks
        • Hiding code in a notebook
      • Publishing notebooks on GitHub
      • Publishing notebooks as a gist
  • Analyzing and processing data with Spark
    • Manage your Spark jobs
• Building a RAG solution
  • Terms of use
  • Tokens
  • Supported foundation models
    • IBM foundation models
    • Third-party foundation models
    • Supported encoder models
      • IBM Slate 125m v2 embedding model card
    • Choosing a model
      • Foundation model benchmarks
      • Foundation model lifecycle
  • Curating and integrating unstructured data
    • Supported connectors for curation of unstructured data
    • Setting up curation flows for unstructured data
      • Designing unstructured data curation flows
      • Document classes
        • Schema requirements
        • Managing document classes
    • Integrating unstructured data documents
      • Creating data integration flows
        • Working with parameters
        • Running a flow with Spark
        • Debugging a flow
      • Data preparation nodes
        • Ingest data
        • Extract data
        • Quality
        • Transform data
        • Generate output
        • Custom nodes
  • Building prompts
    • Prompt tips
      • Avoiding undesirable output
      • Generating accurate output
    • Model parameters for prompting
    • Filtering model content with AI guardrails
    • Sample prompts
    • Prompt Lab
      • Adding prompts
      • Saving prompts
      • Building reusable prompts
      • Chatting with documents and media files
  • Adding Milvus service
  • Connecting to Milvus service
  • Working with Milvus
  • Pause and resume Milvus service
  • Connecting watsonx Assistant to Milvus for custom search
  • Using the Milvus backup tool
  • Using the Vector Transport Service
  • Optimizing your RAG knowledge base
  • Retrieval service
    • Selecting the retrieval service model
    • Understanding reliability scores in Prompt Lab
    • Understanding online reliability scores
  • Integrating your RAG pipeline with AI agents
    • IBM watsonx.data local Model Context Protocol (MCP) server
      • Integrating with watsonx Orchestrate
      • Integrating with other agentic framework
    • IBM watsonx.data remote Model Context Protocol (MCP) server
      • Integrating with watsonx Orchestrate
      • Integrating with LangChain agentic framework
• Data governance
  • Catalogs
    • Administering a catalog
      • Creating a catalog
        • Duplicate asset handling
      • Managing access to a catalog
        • Catalog collaborator roles
      • Changing catalog settings
      • Deleting a catalog
      • Saving searches for catalog assets
    • Catalog assets
      • Finding and viewing an asset in a catalog
      • Adding assets to a catalog
        • Adding a data file
        • Adding a connection
        • Adding data from a connection
        • Adding a connected folder asset from a connection
      • Downloading data assets
      • Editing asset properties
      • Relationships in a catalog
        • Asset relationships
        • Managing relationships in a catalog
        • Exploring relationships
      • Controlling access to an asset
      • Profiling an asset
      • Removing an asset
  • Categories
    • Predefined categories
    • Designing categories
    • Managing categories
    • Managing category collaborators
    • Category collaborator roles
    • Creating custom category collaborator roles
    • Importing and exporting categories
  • Business Terms
    • Designing business terms
    • Predefined business terms
    • Managing business terms
    • Authoring business terms
  • Classifications
    • Designing classifications
    • Predefined classifications
  • Data Classes
    • Designing data classes
    • Adding matching methods to data classes
    • Predefined data assets
      • Predefined data classes details
  • Reference Data
    • Designing reference data sets
    • Creating reference data sets with composite keys
    • Importing files for reference data sets
    • Relationships between reference data sets
    • Predefined reference data sets
    • Storing reference data sets in an external database
  • Policies
    • Designing policies
  • Governance rules
    • Designing governance rules
  • Data protection rules
    • Governance through Access Controlled Lists
      • Configuring ACL flow
    • Designing data protection rules
      • Filtering rows
      • Mask data
        • Advanced masking options
          • Redacting data method
          • Obfuscating data method
            • Preserve format method
            • Identifier masking method
    • Data protection rules enforcement
    • Managing data protection rules
  • Data quality SLAs
    • Designing data quality SLAs
    • Managing data quality SLAs
  • Data lineage
    • Lineage for unstructured data
      • Viewing data lineage
      • Managing data lineage graph
      • Configuring alias assignments
  • Managing IBM watsonx.data intelligence
    • Assigning roles and permissions for users
    • Custom properties, relationships, and asset types
      • Creating custom asset types
      • Creating custom properties
      • Creating custom relationships
      • Importing custom properties or relationships from a file
      • Managing custom properties, relationships, and asset types
    • Managing rule settings
    • Migrating data protection rules
    • Setting up reporting for IBM watsonx.data intelligence
      • Database requirements
      • Data model
      • Managing reporting
      • Sample reporting queries
      • Reporting tables
        • Workspaces
        • Asset relationships
        • Categories
        • Governance artifacts
        • Artifact relationships
        • Data quality rules
        • Customizations
        • User Profiles
        • Tags
        • Rules
        • Metadata imports and enrichments
• Administration
  • Administration on IBM Cloud
    • Setting up the platform on IBM Cloud
      • Setting up watsonx.data
      • Managing users and access
        • Adding users to the account
        • Levels of user access roles
        • User roles for watsonx.data intelligence on IBM Cloud
        • IAM access groups
          • Setting up IAM access groups
          • Example IAM access groups
      • Setting up watsonx.data
      • Setting up watsonx.data by bringing your own licence
      • Setting up Cloud Object Storage
      • Setting up watsonx.ai Studio and watsonx.ai Runtime
      • Setting up watsonx.data intelligence
      • Creating the Platform assets catalog
    • Managing the platform on IBM Cloud
      • Monitoring account resource usage
      • Setting up trusted profiles
      • Managing account settings
      • Managing all projects in the account
      • Upgrading services on the platform
      • Managing Cloud Object Storage resources
      • Removing users
      • Stop using services or the platform
    • Security on IBM Cloud
      • Network security
      • Enterprise security
      • Account security
      • Data security
      • Collaborator security
      • Security policies and responsibilities in IBM Cloud
      • Securing connections to services with private service endpoints
      • Configuring firewall access
        • Firewall access for the platform
        • Firewall access for IBM Cloud Object Storage
        • Firewall access for Redshift
        • Firewall access for Spark
        • Firewall access for watsonx.ai Runtime
        • Firewall access for watsonx.ai Studio
        • Firewall Access for watsonx.data Intelligence
        • Firewall Access for watsonx.data Integration
        • Firewall Access for watsonx.data
    • Deleting watsonx.data instance
    • Learning about watsonx.data architecture and workload isolation
    • Securing your data in watsonx.data
    • Securing metadata in watsonx.data
    • Setting up virtual private endpoints
  • Administration on AWS
    • Provision watsonx.data subscription on AWS
    • Using the IBM SaaS Console with accounts
      • Getting started with the IBM SaaS Console with accounts
      • Granting access through service IDs and API keys from the IBM SaaS Console
      • Email notifications
    • Using the IBM SaaS Console
      • Getting started with the IBM SaaS Console
      • Granting access through service IDs and API keys
    • Setting up watsonx.data for GovCloud
      • Accessing the IBM SaaS Console
      • Accessing the watsonx.data instance
    • Configuring network endpoints
      • Setting up virtual private endpoints
      • Managing access to virtual private endpoints
    • Configuring Egress firewall policies
  • Administration on Azure
    • Setting up watsonx.data on Azure with a user-managed data plane
      • Creating a compute plane
      • Configuring persistent storage for logging
        • Troubleshooting FluentBit pods
      • Downloading watsonx.data system logs
        • Script for downloading logs
        • Troubleshooting log download
      • Egress firewall
  • Integrations
    • OpenTelemetry
      • Adding telemetry diagnostic tools through the user interface
      • Supporting dashboards
        • Supporting dashboard metrics for Presto (Java)
        • Supporting dashboard metrics for Presto (C++)
        • Supporting dashboard metrics for Spark and Gluten accelerated Spark
        • Customizing Instana dashboards to monitor engine performance
        • Customizing Grafana dashboards to monitor engine performance
    • Integrating Confluent Tableflow in watsonx.data
      • Querying Confluent Tableflow using Presto engine
      • Querying Confluent Tableflow using Spark engine
    • Integrating Databricks Unity Catalog
      • Querying Databricks Unity Catalog using Spark engine
      • Integrating Databricks Unity Catalog
    • Integrating Cloudera
      • Setting up Cloudera integration with Presto engine
      • Querying Cloudera tables using Presto engine
    • Integrating Snowflake Open Catalog
      • Querying Snowflake Open Catalog using Spark engine
      • Querying Snowflake Open Catalog using Presto engine
    • Salesforce
    • Data Build Tool (dbt) integration
      • dbt-watsonx-presto (data build tool adapter for Presto)
      • dbt Configuration (setting up your dbt profile)
      • Installing and using dbt-watsonx-presto
      • Installing and using dbt-watsonx-spark
      • dbt Configuration (setting up your dbt profile)
    • Connecting to IBM Knowledge Catalog (IKC)
      • Service to service authorization
      • Masking your data in watsonx.data on IBM Cloud with IBM Knowledge Catalog on software
    • Enabling Apache Ranger policy for resources
      • Adding row-level filtering policy
      • Adding column masking policy
    • Integrating with DataStage
    • Integrating with Data Product Hub
    • Data visualization in with BI tools
      • Connecting Tableau to Presto in watsonx.data
      • Connecting Looker to Presto in watsonx.data
      • Connecting Domo to Presto in watsonx.data
      • Connecting Qlik to Presto in watsonx.data
      • Connecting Power BI to Presto in watsonx.data
      • Connecting IBM Cognos Analytics to Presto in watsonx.data
    • Integrating with IBM Manta Data Lineage
    • Connecting to watsonx BI
  • Troubleshooting
    • IBM Cloud Status
    • IBM Cloud Object Storage for projects
    • watsonx.ai Studio
    • Access Control List
    • Re-enrichment not reflecting glossary updates in semantic automation
    • Updating the configuration settings for Query Optimizer
    • Query Optimizer internal error updating statistics
    • Case-sensitive search configuration with Presto (Java)
    • IBM Cloud IP address restriction
    • Why do I receive an error while integrating with Ranger?
    • Optimizing JDBC metadata queries for Presto (Java and C++) engines
    • Private endpoint not working in CBR rule
    • Why do I receive a certificate error while connecting to Spark labs?
    • Why do I receive permission denied error while connecting to Spark labs?
    • Why do I receive a timeout error while connecting to Spark labs?
    • Why is Milvus unresponsive?
    • Why is Milvus data missing or corrupted?
    • Resolving bulk insert issues in Milvus
  • Managing the user API key
  • Managing your settings on IBM Cloud
  • Activity Tracker Event Routing
  • Managing your cloud account
• Auditing events for watsonx.data
• Logging for watsonx.data
• Monitoring Presto engine JMX metrics with Sysdig on IBM Cloud
• Milvus metrics
• Metering and usage experience
• Default limits and quotas for Spark engine
• Default instance limits for engines and services
• IBM watsonx.data pricing plans
• Architecture and concepts in serverless instances
• Best practices
• Getting connection information
• Presto exposed JMX metrics
• Metrics exposed by Milvus
• Mixed-case behavior
• Understanding your responsibilities when using watsonx.data
• High availability and disaster recovery
• Disaster scenarios in watsonx.data
• Presto update process for watsonx.data
• Configuration properties for Presto (Java) - coordinator and worker nodes
• JVM properties for Presto (Java) - coordinator and worker nodes
• Catalog properties for Presto (Java)
• Event listener properties for Presto (Java)
• Configuration properties for Presto (C++) - worker nodes
• Configuration properties for Presto (C++) - coordinator nodes
• Catalog properties for Presto (C++)
• Velox properties for Presto (C++)
• JVM properties for Presto (C++) - coordinator nodes
• Global properties for Presto (C++)
• LogConfig worker properties for Presto (C++)
• LogConfig coordinator properties for Presto (C++)
• Resource group properties
• Glossary