Success with a lakehouse depends on more than just tooling—it requires team readiness, clear processes and thoughtful design.

Enterprise data catalogs are evolving into conversational AI agents that leverage metadata awareness to improve query accuracy.

If you’re founding or scaling an AI startup, don’t relegate data engineering to the background. Done right, it’s your unfair advantage.

By organizing their team into six general functions, data leaders can build an organization that thrives in the era of AI. Get the details in this TechRepublic exclusive.

Databricks to unveil Lakeflow Designer and Agent Bricks at today’s Databricks Data + Summit event for building AI agents and no-code development of ETL data workflows.

The Age of AI will rely on massive volumes of data that can be easily stored and retrieved—and bioscience may have an ...