For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...

For anyone managing legacy systems sustaining significant revenue, the challenge isn’t modernizing—it's doing so without negatively impacting the business.

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space. Running The Bases By 2025 the total amount of digital data generated, gathered, ...

A database management system can help teams create databases and keep critical information organized in a central repository. However, to make the most of the system, it's critical that organizations ...

Washington, D.C., is breaking down data silos with the development of its Education Through Employment Data System, designed to unify data across the workforce-to-education continuum. The initiative ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Today’s “big data stack” includes databases, data management software and data analytics tools – all critical components of an effective operational or analytical data system. But all those ...