Data Provisioning for enabling Data Virtualization

In my previous blog [Need for Data Virtualization], we discussed how data virtualization is becoming an important component of a comprehensive data integration strategy. Now how does Data Virtualization happen behind the scenes? For the user to get the data from a wide range of sources, the data needs to be provisioned.

Information Provisioning is the mechanisms behind the scenes that supply the data when requested. In InfoSphere, it is achieved using the following four ways…

Information Provisioning styles provided by InfoSpere
Information Provisioning styles provided by InfoSpere

Information Provisioning styles provided by InfoSphere

Federation: Provide correlated information from multiple sources on demand.

Replication: Maintain a copy of an Information Source. A real-time data replication solution can replicate data changes to the locally stored data to ensure it reflects the most current state.You can find more about it here.

Consolidation: Copy and integrate information from multiple sources into a single location. In some cases, data must be transformed (to ensure consistency with other data) before it can be virtualized. The transformation capabilities within an extract, transform and load (ETL) engine
can perform this function.

Caching: Provide localized read only copies of information. The localization of frequently accessed remote data enables queries to be executed locally and quickly, without the need for access to remote data sources.

Disclaimer: “The postings on this site are my own and don’t necessarily represent IBM’s positions, strategies or opinions.”

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