Collibra Data Product to Databricks Metric View
Overview
This Collibra workflow generates a YAML file that can be imported into Databricks to create a Metric Views.
The YAML configuration is generated based on a Data Product Port. The workflow automatically collects relevant metadata required for the Metric View, including:
-
Tables
-
Columns
The collected metadata is structured into a Databricks-compatible YAML format.
The workflow provides a flexible mapping interface to configure how columns from each table should be used in the Metric View. Columns can be assigned to the appropriate roles, such as dimensions or metrics, with mappings defined individually for each table included in the Data Product.
This approach allows the Metric View structure to be customized while still leveraging the metadata managed in Collibra.
Media
More details
Release Notes
Added:
- Check that tables included with the data product port have been ingested using a databricks edge jdbc connection
- Given a programmatic access token and databricks warehouse identifier, create the metric view from the yaml doc
Compatibility
- Collibra Data Intelligence Cloud
Dependency
License and Usage Requirements
Release History
Release Notes
Initial release
Compatibility
- Databricks
- Collibra Data Intelligence Cloud
Dependency
- N/A

