Data Virtualization and Big Data Business Intelligence

SOURCE: Enterprise Apps Today

The basic aim of data virtualization, whose first solutions arrived around 2001, is to allow users to query across differing data sources in real time. That means that any DV solution needs three brand spanking new (in 2001) technologies:

1.       A way to gather data from any data stores accessed by different vendors’ databases or file systems or applications in real time;

2.       A global metadata repository that shows not only what data was out there, anywhere, but also the relationships between the data in various data stores;

3.       A common format across any and all data types that allows DV when it combines the data to present to the end user the relationships between the data, not just differing formats side by side.

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