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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
Temp Tables Are Here, and They're Going to Change How You Use SQL
Learn how temporary tables in Databricks SQL warehouses enable materialized data, DML operations, and session-scoped ETL workflows. Complete with practical examples.
Connecting ChatGPT to Your Databricks SQL Warehouse
Learn how to connect ChatGPT to your Databricks SQL Warehouse using Model Context Protocol (MCP). Step-by-step guide with screenshots and tips.
SQL: Why Materialized Views Are Your Simplest Data Transformation Tool
Create cost-effective, incremental materialized views in Databricks SQL Warehouse. Includes monitoring tips, best practices, and Enzyme optimization.