Operationalizing Multi-Cloud Delta Sharing with Databricks

In this product tour, you will learn how to share and operationalize machine learning models across multiple Databricks workspaces using Unity Catalog and Delta Sharing.

Key highlights:

• Cross-workspace collaboration: Share ML models securely across Databricks workspaces.

• Cross-cloud integration: Demonstrates interoperability between AWS and Azure environments.

• Model governance with Unity Catalog: Centrally manage permissions and access controls for ML assets.

• Delta Sharing for distribution: Share models as secure, read-only assets across organizational or cloud boundaries.

• Operationalizing ML: Consume and use shared models directly in production workflows across environments.