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

MetaMatrix was one of a few “database virtualization” products that aimed to make all of your RDBMSes look like one giant unified schema. This is the sort of idea that makes perfect sense to ...

Now it’s time for your databases. Database virtualization is a way to improve flexibility, maximize efficiency, lower costs and ease administrative overhead. There’s no hardware involved.

The rising complexity of data and the solutions to manage it continue to transform the modern data landscape. Enterprises today are faced with integrating and analyzing a diverse mix of old and ...

Take a deep breath. Your first step should be to plan a comprehensive cloud data virtualization infrastructure. Virtualized cloud analytics is the big data paradigm for the new era. As an ...

PolyBase, a data virtualization feature for SQL Server, allows users to seamlessly query data from various external sources directly using T-SQL (Transact-SQL) without the need for separate client ...

Data virtualization is the key. Businesses today are sitting on vast amounts of data, which has the potential to unlock new opportunities and avenues to stay one step ahead of the competition.

announced the launch of FME Data Virtualization, a new capability that allows organizations to expose secure, OpenAPI-compliant REST APIs directly on top of any system or data source FME supports.