This video provides a practical, end-to-end explanation of Unity Catalog data governance in Azure Databricks. It covers metastores, the three-level namespace, catalogs, schemas, managed and external tables, volumes, storage credentials, external locations, permission inheritance, ownership, workspace bindings, fine-grained access, classification, governed discovery, lineage, audit logs, system tables, and Lakehouse Federation. It is designed for cloud architects, data engineers, analytics leaders, security teams, administrators, data stewards, and technology decision-makers who need to build secure and scalable data governance.
Hashtags:
#kasparcloud #UnityCatalog #AzureDatabricks
Tags:
kasparcloud, Unity Catalog, Azure Databricks, data governance, data catalog, data lineage, secure data access, Lakehouse Federation, data discovery, data classification, Databricks security.
References:
[Microsoft Learn - What is Unity Catalog?](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Unity Catalog securable objects](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Manage privileges in Unity Catalog](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Managed and external tables and volumes](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Connect to Azure cloud storage](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Lineage in Unity Catalog](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Data classification](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Catalog Explorer](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Audit log system table](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Connect to external databases and catalogs](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Unity Catalog best practices](https://learn.microsoft.com/en-us/azu..., [Databricks - Open-source Unity Catalog](https://www.unitycatalog.io/).
This video provides a practical, end-to-end explanation of Unity Catalog data governance in Azure Databricks. It covers metastores, the three-level namespace, catalogs, schemas, managed and external tables, volumes, storage credentials, external locations, permission inheritance, ownership, workspace bindings, fine-grained access, classification, governed discovery, lineage, audit logs, system tables, and Lakehouse Federation. It is designed for cloud architects, data engineers, analytics leaders, security teams, administrators, data stewards, and technology decision-makers who need to build secure and scalable data governance.
Hashtags:
#kasparcloud #UnityCatalog #AzureDatabricks
Tags:
kasparcloud, Unity Catalog, Azure Databricks, data governance, data catalog, data lineage, secure data access, Lakehouse Federation, data discovery, data classification, Databricks security.
References:
[Microsoft Learn - What is Unity Catalog?](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Unity Catalog securable objects](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Manage privileges in Unity Catalog](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Managed and external tables and volumes](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Connect to Azure cloud storage](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Lineage in Unity Catalog](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Data classification](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Catalog Explorer](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Audit log system table](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Connect to external databases and catalogs](https://learn.microsoft.com/en-us/azu..., [Microsoft Learn - Unity Catalog best practices](https://learn.microsoft.com/en-us/azu..., [Databricks - Open-source Unity Catalog](https://www.unitycatalog.io/).