Describe the proposal
Gravitino provides unified management and governance for technical metadata, but it does not yet provide first-class management of business semantic definitions. Today, these definitions are fragmented across systems such as dbt, Cube, Spark/Databricks Metric Views, and Snowflake Semantic Views, making them difficult to discover, govern, and reuse consistently.
Add a vendor-neutral semantic metadata management layer to Gravitino. Semantic assets should support consistent identity, versioning, lifecycle, authorization, ownership, auditing, and discovery.
This epic focuses on semantic metadata management. Query compilation and execution, materialization, and engine-specific runtime integrations will be tracked separately.
Task list
see below
Describe the proposal
Gravitino provides unified management and governance for technical metadata, but it does not yet provide first-class management of business semantic definitions. Today, these definitions are fragmented across systems such as dbt, Cube, Spark/Databricks Metric Views, and Snowflake Semantic Views, making them difficult to discover, govern, and reuse consistently.
Add a vendor-neutral semantic metadata management layer to Gravitino. Semantic assets should support consistent identity, versioning, lifecycle, authorization, ownership, auditing, and discovery.
This epic focuses on semantic metadata management. Query compilation and execution, materialization, and engine-specific runtime integrations will be tracked separately.
Task list
see below