A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

Databricks has expanded its integration with Microsoft’s ecosystem, introducing a Power Platform connector and new Azure Databricks capabilities to link AI, analytics, and collaboration tools. These ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...

Microsoft announced on Tuesday the public preview of a native Azure Databricks Connector in Power Platform, enabling what the company said is seamless, governed access to Databricks data without data ...

Overview:  Choosing between Hadoop, Spark, and Databricks can define your data strategy success in 2026.Each tool serves a unique purpose from storage to r ...

Databricks has made a name for itself as one of the most popular commercial services around the Apache Spark data analytics platform (which, not coincidentally, was started by the founders of ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...