Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering ...

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry ...

Arsalan Tavakoli was at his bachelor party in 2013 when Ali Ghodsi, a computer science researcher at the University of California, Berkeley, pulled him aside. The two had become colleagues and friends ...

When Microsoft Clarity made AI citations available to all users, it opened up a new playground for SEOs to harvest AI visibility data. Finally, we can see the exact “grounding queries” an AI engine ...

As Large Language Models (LLMs) become increasingly popular, caching responses so that they can be reused by users with semantically similar queries has become a vital strategy for reducing inference ...

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Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

Power Query caches metadata (file lists, folder structures) from SharePoint to improve performance. When you connect via From SharePoint Folder, Power Query stores a local snapshot of the library’s ...

Databricks has previewed a new open agentic Security Information and Event Management software (SIEM) named Lakewatch that signals its first deliberate step beyond data warehousing into security ...

Select the Azure Databricks option in the get data experience. Different apps have different ways of getting to the Power Query Online get data experience. For more information about how to get to the ...

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...