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.

While data virtualization brings a lot of capability, it is very important to recognize that it is not a direct replacement for either traditional replication-based integration tools such as ETL, ELT, ...

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 ...

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.

Data-driven companies continue to explore data management technologies that better unify operational, analytical, and other disparate or siloed data in a way that offers tangible business value and ...

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.

Data center virtualization is transforming IT infrastructure with opportunities in agile, scalable solutions, driven by digital transformation, hybrid computing, and enhanced resource utilization. Key ...