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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 Simplify Databricks Asset Bundles with Policy Inheritance
Learn how Databricks’ policy default values reduce Asset Bundle complexity. Centralize governance and eliminate repetitive cluster configurations.
Request Access Through Unity Catalog
Implement Databricks Unity Catalog access requests to streamline data permissions. Step-by-step guide covering BROWSE privileges, automated workflows, and ITSM integrations for better data governance.
Grant individual permission to secrets read in Unity Catalog
Implement granular secret access control in Unity Catalog that goes beyond traditional Key Vault-level permissions. This advanced approach uses Unity Catalog UDFs with service credentials to create secret-specific access controls, allowing you to grant users access to individual secrets rather than entire Key Vaults.
Add External Data Sources to Unity Catalog Lineage
Enhance your Unity Catalog lineage by incorporating external data sources such as Kafka streams and IoT devices. This blog covers both UI-based and programmatic methods for creating complete data lineage visibility in your Databricks environment.
Data Intelligence for All: 9 Ways Databricks Just Redefined the Future of Data
Discover how Databricks' 9 major announcements at Summit 2025 are democratizing AI with Agent Bricks, Lakebase, free edition, and more game-changing innovations.