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.

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 ...

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

Database virtualization will enable real-time business intelligence through a policy-driven, latency-agile, distributed-caching memory grid that permeates an infrastructure at all levels.

Think of conventional database migrations as the equivalent of open-heart surgery. In contrast, moving with database virtualization is more like noninvasive surgery. However, it is surgery ...

Database virtualization is not a new concept, but it’s also not a widely implemented one. In one type of database virtualization, such as that practiced by the San Francisco company Datometry, a layer ...

Real-time is the most exciting new frontier in business intelligence, and virtualization will facilitate low-latency analytics more powerfully than traditional approaches. Database virtualization ...

The global data virtualization market size was US$ 3 billion in 2021. The global data virtualization market is expected to grow to US$ 20.1 billion by 2030 by registering a compound annual growth rate ...

Database virtualization can help. Database virtualization (DBV) is a radically different approach to solving the migration problem. Unlike code converters, DBV translates SQL on the fly.

IT teams responsible for data integration may consider applying seven secrets practiced by their enterprise counterparts to make their own advanced data virtualization projects and architectures ...

“We want to bring to the database management layer, in general, and to relational databases, in particular, the flexibility and the extensibility you get out of virtualization and the cloud ...