Data Virtualization Is Hot at the Gartner BI Summit
April 8, 2012 1 Comment
A Fantastic, Immersive Opportunity
Last week I attended the Gartner BI Summit in Los Angeles. While I am an avid follower of Gartner’s Information Management, Analytics and BI research, it was great to hear this content directly from the analysts and gauge the reaction of the thousand plus attendees.
Data Virtualization’s Capabilities are Critical Enablers
I was pleased to see data virtualization’s rising prominence in the Gartner analyst presentations. In his presentation entitled Gartner’s Information Capability Framework: Creating Value from Information Assets, Ted Friedman described the breadth of enabling infrastructure functions required by today’s agile businesses and complex big data environments.
In this framework, decoupling information assets from consuming applications is a key tenet. This is something data virtualization is especially adept at. Further data virtualization can provide a number of the key functions including discovery, modeling, abstraction, semantic reconciliation, aggregation, enrichment, standardization, publishing and more, in an integrated solution from development through operation.
Data Virtualization Core to Logical Data Warehouse
Data virtualization was also a core element in the Gartner’s Logical Data Warehouse research. In his presentation entitled How Will We Survive Without the EDW, Mark Beyer described the major forces impacting the traditional enterprise data warehouse. Volume, variety, velocity and complexity are but a few of the extremes that are causing a major reassessment of earlier information management paradigms.
Based on my interpretation of the Logical Data Warehouse, data virtualization will play a key role. Data virtualization along with physical repositories such as Teradata and the Oracle database, and distributed processing approaches such as Hadoop will be deployed in a mix and match approach based on service level needs. For example, use data virtualization to service up to the minute, smaller queries and distributed processes for complex, large scale analytics.
What Do You Think?
If you attended the Gartner BI Summit and/or have been following their Information Capability Framework or Logical Data Warehouse research, I would enjoy seeing if you felt the same level of data virtualization heat. I’ll start a discussion at the The DV (Data Virtualization) Café LinkedIn group where we can explore this further.