Data Virtualization on Cloud Pak for Data

Data Virtualization connects multiple data sources across locations and turns all of this data into one virtual data view. This read-only data view makes it easier to get value out of your data.

Benefits

After you create 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.

Security

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 such as 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.