Data virtualization is a method of data management that refers to the compiling of all enterprise data in one place, regardless of its source. This is completed via a virtual data layer that ...

Data virtualization has been one of IBM Corp.’s primary concerns since Red Hat Inc.’s OpenShift open-source container application platform gained steam across the industry. Essentially, the ...

Data virtualization is on the rise to contend with the increasing complexity of data.

Data Virtualization blends big data and IoT with contextual data and predictive analytics. Explore its uses now.

Listen to the podcast. Find it on iTunes/iPod. Read a full transcript or download a copy. Sponsor:Stone Bond Technologies. The latest BriefingsDirect discussion targets the need to make sense of the ...

There is a critical need among businesses today for a platform that enables them to access any kind of data from anywhere it lives without necessarily moving it to a central location like a data ...

AtScale is a data virtualization provider for analytics. What this means is that AtScale provides an abstraction layer that enables its users to access the underlying data stores it supports in a ...

Data is one of the most valuable resources available to any enterprise. Unfortunately, many organizations still aren’t leveraging their data well enough to fully monetize it. For an enterprise to ...

In an industry that's often disappointed by the Next Big Thing, virtualization is delivering, allowing businesses to reduce the need to pile more and bigger server hardware into strained data centers.

With more volume, variety, and velocity of data, the challenges of data management are getting harder. Business users are spending more time trying to integrate, analyze, and earn insights from their ...