A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Processing, dissemination and exploitation of data and intel requires advanced sensors and systems, not to mention a robust and future-focused command and control environment.

From cloud data warehouses and lakehouses to real-time data processing and streaming, the data architecture landscape continues to evolve rapidly. Right now, the majority of DBTA subscribers have ...

Revolutionary AI document intelligence platform delivers enterprise-grade capabilities without compromising data sovereignty or compliance Dublin, Ireland--(Newsfile Corp. - July 10, 2025) - Eliatra, ...

Identify big data or large, distributed systems. Know when and when not to use big data. Practice software engineering fundamentals. Create an application that uses rest collaboration, event ...

In a recent Engineering article, researchers Jinghai Li and Li Guo discuss the future of data science and its significance for AI. They point out the challenges in scientific data systems ...

AI excels at processing and analyzing vast amounts of data in real time, allowing for sophisticated risk assessments for each access request. For example, a user tries to access a system from an ...

The U.S. Defense Department is laying the groundwork to expand a pilot program started in 2023 to provide more data processing capabilities to military units operating outside of the U.S ...

ANDOVER, Mass., Dec. 23, 2024 (GLOBE NEWSWIRE) -- Mercury Systems, Inc. (NASDAQ: MRCY, www.mrcy.com), a technology company that delivers mission-critical processing power to the edge, today ...