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 ...

An in-depth look at how database virtualization takes the sting out of database migrations.

Database virtualization, a seemingly bad idea from the past, turns out to be a good idea in the present ...

Data lakes have been all the rage, but for federated data, virtualization fabrics offer greater speed, agility and utility for more users.

Data virtualization’s centerpiece is an abstraction layer, such as any of the SQL-virtualization approaches that support logically unified access, query, reporting, predictive analytics, and ...

Similar to server, storage, and network virtualization, data virtualization simplifies how data is presented and managed for users, while employing technologies - under the covers - for abstraction, ...

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 is your most valuable resource—but only if you can access it fast enough to address present challenges. Data virtualization is the key.

Data virtualization gathers all of an organization’s data from multiple sources – management applications, cloud environments, big data, third-party data providers, social networks and other sources – ...

Data virtualization IS the perfect fuel for mainframes—or any system that relies on real-time analysis of data.

Data virtualization engages the entire enterprise, and challenges tend to be more organizational and cultural than technical.