Databricks offers Python developers a powerful environment to create and run large-scale data workflows, leveraging Apache Spark and Delta Lake for processing. Users can import code from files or Git ...

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 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 ...

The proliferation of AI is changing the nature of cyberattacks, with enterprises exposed to targeted, fast-moving threats. Gaps in governance and guardrails around AI adoption are expanding the attack ...

Three of the biggest names in the artificial intelligence revolution appear on track to launch IPOs in 2026 amid a wave of hype, massive valuations, and for most investors, very little visibility into ...

Databricks is introducing a security information and event management service called Lakewatch. The privately held company sees an opportunity to challenge mature cybersecurity vendors using ...

Clients across industries, such as Albertsons, BASF, and Kyowa Kirin International are working with Accenture and Databricks to build agent-ready databases and AI applications on their enterprise data ...

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 acquired Quotient AI, a provider of AI agent evaluation and training software, to help enterprises scale AI agents in production more reliably. “Quotient AI was built to close the gap ...

Several widely used tools in Databricks Inc.'s Lakehouse platform infringe two patents covering predictive-model databases, search functions, and access controls, a federal lawsuit said. Databricks is ...