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 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.

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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; ...

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 ...

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 ...

Starburst, the well-funded data warehouse analytics service and data query engine based on the open source Trino project, today announced that it has acquired Varada, a Tel Aviv-based startup that ...

Open table formats such as Apache Iceberg standardize data and metadata semantics across engines, but they do not provide SQL dialect interoperability, leaving identifier resolution to each engine. In ...

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.

For decades, data professionals have struggled with the challenge of managing both operational and analytical databases in a unified approach that doesn't introduce latency and performance degradation ...

Understand the benefits of Bulk Export from GSC to BigQuery in 15 minutes or less. Find out if it's worth your time as an SEO. Google Search Console is a great tool for SEO pros. But as many of us ...