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 ...

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 ...

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.

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 ...

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.

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage. Organizations are getting serious about ...

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.

Your data could be standing in the way of getting the most out of DevOps and continuous delivery. It’s also a significant security risk in development — and that’s about to get more ...