Getting started with Data Virtualization

With Data Virtualization you can easily join data from different sources in one unified view, without manual changes, data movement, or replication. By joining data in a unified view, you can centralize the knowledge and governance of your data by using Data Virtualization, without the need to move the data itself to any specific location.

• Use data across different locations and formats in real time

  Data Virtualization supports many relational and non-relational data sources on IBM Cloud Pak® for Data, enabling you to access, virtualize, and consume data in real time. For example, Data Virtualization seamlessly integrates with Db2 and Db2 Warehouse.

• Manage governance at scale with IBM Knowledge Catalog

  IBM Knowledge Catalog lets you create catalogs of curated assets that the governance framework supports. Data Virtualization enforces governance in real time across your organization by using these curated assets.

• Query data with diverse platform support

  You can query your data by using standard SQL through common interfaces such as Spark SQL, Python, and Jupyter Notebooks. In addition, queries are also supported by the most common analytics application tools, including Watson Studio and Cognos Analytics.