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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
How to (Efficiently) Process Change Data Feed in Databricks Delta
Databricks AUTO CDC isn't just the easiest way to process Change Data Feed, it's also the cheapest. A benchmark across 25 million INSERT, UPDATE, and DELETE operations found AUTO CDC outperformed Structured Streaming and SQL Warehouse on cost in every run, even as the target table grew to 72 million records. Structured Streaming remains the right choice for custom logic; AUTO CDC wins on standard SCD Type 1/2 patterns at scale.