omni-to-databricks-metric-view

Convert Omni topics into Databricks Metric Views by mapping field definitions to dimensions and measures, generating compatible YAML definitions, and executing create or alter workflows against a Unity Catalog deployment.

Mapping Omni fields to Databricks Metric View YAML involves translating topic-level dimensions and measures, building required joins, and applying formatting rules to generate a semantic model definition for Unity Catalog.

Yes, you can deploy Omni metric views into Unity Catalog by applying generated YAML definitions to create or alter topic-level metric views, making them available for BI dashboards and Genie spaces.

Integrating Omni metrics with Databricks Genie spaces is supported by exporting Omni topics as Metric Views in Unity Catalog, providing a unified semantic layer for analytics and natural language querying.

To generate Databricks Metric View YAML, you need to provide the Omni topic name and a target catalog schema, which allows the system to map fields, build joins, and output the definition for review.

Manage versioning for Databricks Metric Views by applying create and alter workflows against the Unity Catalog deployment, updating the topic-level YAML definitions as Omni metrics evolve over time.