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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
New Classic Compute Policies: Prevent Overspending
Configure Databricks compute policies to prevent accidental overspending. Step-by-step guide to setting auto-termination, worker limits, and access controls that protect your budget without limiting productivity.
Performance, Benchmarks, and Optimization Tips for Databricks Users
Josue Bogran interviews Jeremy Lewallen from Databricks’ Performance Team, exploring benchmarks, storage cost optimization, rightsizing SQL Serverless Compute, and common compute mistakes. Discover why Databricks continually enhances performance, tips for using the latest DBRs, and how their innovations provide a fast, efficient, and developer-friendly data platform.