Databricks declares the end of pipelines with a unified platform for operational and analytical data
Databricks declares the end of pipelines with a unified platform for operational and analytical data - SiliconANGLE ...
At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...
Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
The no-code ETL tool works by combining a generative AI assistant for pipeline creation and Unity Catalog for governance. Databricks showcased a new no-code data management tool, powered by a ...
Monte Carlo, the agent trust platform for enterprise AI, today announced its support for Agent Bricks, Databricks' platform to build, deploy and govern AI agents on enterprise data. With this ...
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A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...
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