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 ...

Giant AI data centers are causing some serious and growing problems – electronic waste, massive use of water (especially in ...

Big Data Analytics and Information Systems represent a synergistic field that harnesses vast volumes of digital data to derive actionable insights and support decision-making across diverse sectors.

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Yellowbrick Data, a SQL data platform, announced today that CRN ®, a brand of The Channel Company ®, recognized Yellowbrick as part of its 2025 Big Data 100 ...

Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today – what's come to be known as big data. Companies are seeking technologies that not ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

In recent years, the service has doubled the amount of network endpoints contributing log data nearly in real time into the big data platform known as Gabriel Nimbus, which is based on the Defense ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Healthcare and insurance payers spend ...

Big data has taken center stage in recent years, with companies in a huge range of industries beginning to understand the opportunities it can bring. Yet, I find there is still a lack of understanding ...

A flaw in code for handling Parquet, Apache’s open-source columnar data file format, allows attackers to run arbitrary code on vulnerable instances. The vulnerability, tracked as CVE-2025-30065, is a ...

The frightful fall season of Halloween is upon us. This means spooky things are on the rise. It’s right to be wary of things that bump at night or in the day when looking at the tangle of legacy data ...