Data is the fuel of AI applications, but the magnitude and scale of enterprise data often make it too expensive and time-consuming to use effectively. According to IDC’s Global DataSphere 1, ...

A research team at POSTECH led by Professor Wook-Shin Han of the Department of Computer Science and Engineering and the ...

Artificial intelligence has moved from pilot projects to daily operations faster than most infrastructure teams planne ...

Unravel Data, the data platform optimization company, today unveiled Arvix AI, an agentic engine that autonomously tunes and optimizes across Databricks, Snowflake, and BigQuery. Built upon a decade ...

The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...

Data can exist in any number of different places across an enterprise. Gathering all that data for analysis in IT operations and security is often a challenging task. The overall goal is to make it ...

New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...

The shift from traditional search engines to AI-powered answer engines signals more than a technical upgrade. It marks a fundamental change in how people discover, evaluate, and act on information.

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.

Starburst Data Inc., developer of a commercial distribution of the Trino distributed SQL query engine, today said it has acquired Varada Ltd., a Tel Aviv-based maker of a data lake analytics ...