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Databricks Unity Catalog gains visibility with Microsoft Purview integration

This article details how to integrate Databricks Unity Catalog with Microsoft Purview to enhance data governance and visibility. The author shares a personal experience of a multi-hour debugging session caused by a data schema change, highlighting Unity Catalog's limitations in providing external visibility despite its strong enforcement capabilities. By connecting Unity Catalog's metadata with Purview, users can gain a searchable lineage graph, simplifying debugging and proving regulatory compliance for GDPR, HIPAA, and the EU AI Act. AI

IMPACT Enhances AI governance by enabling provenance tracking for ML workloads and training data.

RANK_REASON The article describes a technical integration between two existing products to enhance functionality, rather than a new product release or significant industry event.

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Databricks Unity Catalog gains visibility with Microsoft Purview integration

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  1. Towards AI TIER_1 English(EN) · Chettri S. ·

    Unity Catalog is Blind. Here’s How We Gave It X‑Ray Vision with Purview.

    <h4>Govern your data lake end‑to‑end: architecture, secure setup, production notebooks, RBAC, and monitoring.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*BpOj746JJNYzjHNX6Qt6mQ.png" /><figcaption>End‑to‑end architecture of the Databricks–Purview govern…