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Production Databricks Hybrid Architecture Map
Use this map when notebooks, Python scripts, metadata, Unity Catalog governance, and Databricks Asset Bundles need a cleaner production architecture.
Three questions to ask
- Which logic belongs in notebooks for orchestration and visibility?
- Which reusable transformations, validation, or merge patterns belong in Python modules?
- Which governance, lineage, mapping, and deployment rules should move into metadata or Databricks Asset Bundles?
Optional Follow-Up
Want help turning the architecture map into a delivery plan?
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Next Step
Use the diagnostic, then talk through what it means.
The resource is ungated so you can move quickly. If the answers point to unclear ownership, platform risk, AI readiness gaps, audit exposure, or team overload, the next useful step is The Gambill Data Platform Risk Review: a focused strategy conversation for CTOs, VPs of Data, and technical founders.