Data Virtualization integrates data sources across multiple types and
locations and turns all this data into one logical data view. This virtual data lake
makes the job of getting value out of your data easy.
After creating connections to your data sources, you can quickly view across your
organization’s data. This virtual data platform 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
Cloud Pak for Data users that need to use Data Virtualization
functions must be assigned specific Data Virtualization roles based on their
All communication between the environment and the application is securely encrypted with robust IBM technology, and
SSL/TLS encryption by using standard protocols.
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