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

The data-analytics company is pushing further into AI applications for general work as it aims to carve out a place in the ...

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...

Databricks declares the end of pipelines with a unified platform for operational and analytical data - SiliconANGLE ...

Databricks Data AI Summit 2026 is underway in San Francisco with 30,000 practitioners on the floor as Day 2 brings catalog ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...

The zero-copy credential model enables cross-platform sharing of AI assets, promising lower overhead, stronger governance, ...

Overview  AI and machine learning roles are seeing the fastest growth globally, with employers prioritizing expertise in LLMs ...

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...