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.

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.

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 ...

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 ...

What is data virtualization? Data virtualization software is the modern answer to the traditional extract/transform/load (ETL) process. This involves first pulling data from the original data ...

There are four major steps on the road to a flexible data center: consolidation, standardization, virtualization and utility.

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.

For modern IT to exist in the form of hyperconverged infrastructure, composable infrastructure, and the cloud, we needed virtualization. Without virtualization, the nearly two-decade evolution of ...