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Databricks declares the end of pipelines with a unified platform for operational and analytical data
Databricks Inc. is using its Data + AI Summit today in San Francisco to unveil a new data architecture designed to eliminate one of enterprise computing’s oldest bottlenecks: the separation between ...
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...
PySpark/Databricks Developer. We are an international team who serve the Responsible Investments Domain in providing strategic responsible investment solution ...
Head of data reliability engineering Dheeraj Puli told the Databricks Data+AI Summit in San Francisco that the bank is ...
Lakebase is a managed Postgres database designed for running AI apps and agents. It adds an operational database layer to Databricks’ Data Intelligence Platform. According to the company, operational ...
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