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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
From Informatica to Databricks: What Actually Works in Production
Informatica's new LTS pricing means staying put is no longer free — it's a recurring tax on a platform with a shrinking capability roadmap. This guide covers the full migration path from PowerCenter to the Databricks Lakeflow stack: the CFO-ready business case, a construct-by-construct translation guide, and the five-phase M5 methodology SunnyData runs on every engagement. If your team is weighing IICS versus a full re-platform, the architecture decision and cost model are here.