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Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

The name of Databricks' annual conference has gone from "Spark Summit" to "Spark + AI Summit" and now to "Data + AI Summit." The evolution of the event name tracks Databricks' own transition from the ...

Head of data reliability engineering Dheeraj Puli told the Databricks Data+AI Summit in San Francisco that the bank is ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification problem of OLTP and OLAP databases.

DX Foundation, an enterprise data strategy and AI consultancy firm based in Austin, Texas, has announced an official ...

Ataccama, the data trust company, today announced a native integration with Databricks, the Data and AI company, to bring data quality, lineage, and governance signals from enterprise source systems, ...

Monte Carlo extends observability coverage from Delta Lake tables and Lakeflow, Databricks’ unified data engineering solution, to agents built on Agent Bricks — giving enterprises a continuous, ...