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Most teams that move to Databricks get the hard part right. They migrate the processing engine, rebuild the transformation logic, and stand up Unity Catalog. Then they leave Azure Data Factory running in the background: connected to everything, owned by nobody, and quietly accumulating cost and complexity. In this entry, that’s the gap we address.
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ML & AI
Enforcing Enterprise Naming Conventions in Databricks: The Agentic Way
Naming conventions only work if they're enforced — and a Confluence page nobody reads isn't enforcement. This post walks through using Databricks Workspace Skills to make naming rules executable in Genie Code, then scaling that to a catalog-wide audit agent built with Databricks Apps and DABS. The result is automated, repeatable governance that runs without requiring engineers to opt in.
Data Intelligence for All: 9 Ways Databricks Just Redefined the Future of Data
Discover how Databricks' 9 major announcements at Summit 2025 are democratizing AI with Agent Bricks, Lakebase, free edition, and more game-changing innovations.