Inside of OneLake Spark Catalog and migration to schema-enabled lakehouses
Description
Discover the capabilities of the OneLake Spark Catalog, which supports Lakehouse schemas, cross-workspace querying, row- and column-level security, and more. Examine techniques for querying objects using Spark within Fabric, including simultaneous access to Data Warehouses, Mirror Databases, and Lakehouses. Finally, review best practices and strategies for enabling OneLake Spark Catalog for all Spark runs and migrating to schema-enabled lakehouses.
Key Takeaways
- Discover the capabilities of the OneLake Spark Catalog, which supports Lakehouse schemas, cross-workspace querying, row- and column-level security, and more
- Examine techniques for querying objects using Spark within Fabric, including simultaneous access to Data Warehouses, Mirror Databases, and Lakehouses
- Finally, review best practices and strategies for enabling OneLake Spark Catalog for all Spark runs and migrating to schema-enabled lakehouses
- Technical — implementation and architecture
My Notes
Action Items
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