Data virtualization addresses the data movement challenge by ensuring data remains at the source — yet is also available for consumption in real-time for consuming applications.

You've undoubtedly heard the (tired) definition of big data involving the three "Vs" for volume, variety, and velocity. Now there's a growing movement to associate a fourth V-word with big data sets: ...

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

Employing virtualization technology to consolidate underutilized x86 servers in the data center yields both an immediate, one-time cost saving and potentially significant ongoing savings.

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 ...

Its no surprise that the adoption of server virtualization technology is continuing to accelerate as enterprise organizations consolidate critical applications on virtual machines (VMs). It is a ...

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

The data center virtualization market is experiencing significant growth due to the increasing need for businesses to scale operations efficiently while minimizing costs. The demand for flexible ...