by Angela Guess
In a recent interview Suresh Chandrasekaran, SVP of Denodo discussed data virtualization and its various use cases. He stated, “Data virtualization is both a data integration approach and a technology that provides unified data access across disparate data sources to multiple business applications and users, delivered on demand. I emphasize a few things: unified data access, disparate data, delivered to multiple applications, and on demand. From a business user perspective, they simply have to access this virtual data layer that delivers whatever information they want, the way they want it, and when they want it. It doesn’t matter if they access the information directly from their smartphones, through a portal, a web user interface (UI), a business intelligence (BI) tool, or an enterprise application UI. Data virtualization provides more flexible, agile access to information as a service, with the appropriate security and service levels added.”
He added, “Data virtualization is definitely becoming a mainstream way of doing data integration to enable faster delivery of data solutions with agility at a lower cost. We are seeing two trends in how data virtualization is used. The first is using data virtualization to address specific project needs for accessing disparate data sources in a more agile, real-time fashion. Think of this as adding another tool to the IT integration toolbox. The second is more architectural adoption of data virtualization to create a unified data services layer in the enterprise. Denodo, given its deep experience, has helped a lot of customers evolve from the first pattern to the second and from simple read-only uses to more complex, read-write enterprise data sharing uses, and that’s important to get the most out of the technology.”
photo credit: Fraser Mummery
