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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
Evaluating Databricks' Cost Control Features: A Closer Look at Budgets and Cost Dashboard
Evaluating Databricks' cost control features reveals strengths in granular tracking and user-friendly budgeting, but highlights areas for improvement in automated alerts and comprehensive expense tracking. Explore our insights on Databricks' budgeting tools.