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

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.

Metadata-driven data virtualization and improved orchestration can help provide the inclusion and scale to accomplish far better data management. Such access then leads to improved integration of ...

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 ...

Semantics and virtualization, data integration and data governance on the way to the cloud It's official - data analytics is swiftly moving to the cloud.

Storage Virtualization: This is the consolidation of data in a central location, where multiple users can access it. It allows for the reduction in duplicated data and potentially fewer servers. To ...

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

For years, virtualization has been a buzzword in the data center, where virtualization software, such as a hypervisor, is used to carve up a single operating system image into multiple OS images.