Unity Catalog is the Databricks governance layer for data and AI assets. It provides one place to manage access control, auditing, lineage and discovery for tables, files, machine learning models and functions across workspaces and clouds.
It organises assets in a three-level namespace (catalog.schema.object) and enforces permissions centrally, so the same rules apply whether data is queried from SQL, notebooks, pipelines or AI applications.
Read more about Unity Catalog
- How We Productionise Data and AI on Databricks: Bundles, CI/CD, Testing, MLOps and OperationsOur playbook from notebook to production: repo layout, Asset Bundles, CI/CD with service principals, data testing, idempotent backfills, MLflow and operations.
- Medallion Architecture on Databricks: A Practical GuideHow to design bronze, silver and gold layers on Databricks that stay reliable at scale — with patterns for ingestion, data quality, governance and cost.
How Marquedata helps
Data & CloudModern, governed data platforms on the cloud — engineered for scale, reliability and AI readiness.
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