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 ...

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; ...

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 ...

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

AI agents asking questions in natural language apparently issue a lot more queries than your average SQL jockey ...

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 ...

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 ...

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 ...