Blog reprint – What is Intelligent Data Virtualization and Why Do I Need It?
While the hybrid cloud represents an improvement from on-premise data environments, it has its challenges: it can be slow, disruptive to business users, result in inconsistencies in reporting across BI tools, and require data consumers to understand data locations and formats before they can actually start any analysis.
What businesses need is a solution that intelligently virtualizes all their siloed data into a single, unified data view from which a variety of BI tools can get fast, consistent answers.
This article outlines what differentiates intelligent data virtualization from other solutions:
- Intelligent data virtualization is a collection of data from a wide variety of sources that is used to drive business decisions.
- Unlike a physical data warehouse, intelligent data virtualization does not require data to be stored in a single location. It intelligently virtualizes an organization’s siloed data into a single, unified data view from which a variety of BI tools can get fast, consistent answers.
- Data is queried in its native form “as is” but appears as a unified data warehouse to users.
You’ll also learn what the 10 requirements are for Intelligent Data Virtualization in order for it to work for modern analytics.