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, ...

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; ...

Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The fictional Voltron robot (from the animated science fiction show of ...

Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...

The company will accelerate development of its Ahana Cloud service that provides a way to query huge volumes of data in AWS S3-based data lakes. Big data analytics startup Ahana has raise $20 million ...

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 ...

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, 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 ...