AI data centre-fuelled power demand growth in the U.S. is likely to drive a "boom cycle" for energy storage in the next five ...

One of the most respected data science certifications today is the DP-100 Microsoft Certified Azure Data Scientist Associate. To pass the DP-100 certification, you should use DP-100 exam simulators, ...

The MEMORY storage engine stores all data in memory (RAM), and is used for fast lookup of data. InnoDB supports a buffer pool ...

However, databases alone and cloud-based services, like serverless functions, that access them were not designed to handle ...

See what really works in FinOps, modern Java, and distributed data ... While SQL transformations are powerful for use cases such as schematizing and normalizing data or redacting sensitive information ...

Columnar, a startup founded by core Apache Arrow developers, launched today with $4 million to accelerate data connectivity using Arrow-based drivers. Bessemer Venture Partners led the company’s seed ...

The launch stems from Redpanda’s recent acquisition of the Structured Query Language engine startup Oxla sp. z o.o., which was also announced today. The Redpanda agentic data plane is meant to serve ...

Hard-drive lead times have gone from a few weeks to more than a year due to AI demands, and enterprise flash storage prices are expected to rise with surging demand. After GPUs, storage capacity has ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.

Pure Storage’s low-key cofounder John Colgrove joins the three-comma club after signing a flashy deal with Meta amid increasing data storage demand. John Colgrove—who still goes by his childhood ...

After filing plans with the town of Apex for a proposed data storage facility on Shearon Harris Road, Michael Natelli of Natelli Investments LLC is speaking for the first time about those plans and ...

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...