Data Virtualization on Cloud Pak for Data
Version: 1.7.3 Included IBM
Data Virtualization connects multiple data sources across locations and turns all of this data into one logical data view. This virtual data view makes the job of getting value out of your data easy.
After creating connections to your data sources, you can quickly view all of your organization's data. This virtual data view enables real-time analytics without moving data, duplication, ETLs, or additional storage requirements, so processing times are greatly accelerated. You can bring real-time insightful results to decision-making applications or analysts more quickly and dependably than methods that don't use virtualization.
Centralized authentication and authorization are enforced for platform users to access data sources in a trusted environment. The Data Virtualization Admin, Data Virtualization Engineer, Data Virtualization Steward, and Data Virtualization User roles provide granular access management to the virtualized assets. Cloud Pak for Data users that need to use Data Virtualization functions must be assigned specific Data Virtualization roles based on their job description.
All communication between the environment and the application is securely encrypted with robust IBM technology, and SSL/TLS encryption by using standard protocols.
- Platform support
Data Virtualization supports queries by using standard SQL through common interfaces including R, Spark, Python, and Jupyter Notebooks. In addition, queries are also supported by the most common analytics application tools, including IBM Watson Studio and Cognos Analytics.
|Watson™ Knowledge Catalog||Create catalogs of curated assets with this secure enterprise catalog management platform that is supported by a data governance framework.|
|IBM® Db2® Data Management Console||Administer, monitor, manage, and optimize the performance of your IBM Db2 databases.|
Compatible data sources
See Supported data sources for a list of data source services that are compatible.