Tip You can set up this integration in the unified integrations experience (in preview). This feature is in public preview and applies to metadata, AI, SAP, and lineage integrations. In one guided flow, you select an Edge site, create the connection, add the integration, and configure it. To get started, in the banner on the Integration configuration tab, click Try the new Integrations page. For more information, go to About the unified integrations experience (in preview).
Google Knowledge Catalog (formerly Dataplex Universal Catalog) is a technical catalog from Google that provides information for data in your Knowledge Catalog projects. The Knowledge Catalog integration provides a unified view of the metadata across all your Knowledge Catalog projects in Collibra Platform.
The Knowledge Catalog integration is based on the Google Knowledge Catalog and enables seamless integration between Collibra and Knowledge Catalog. It supports both inbound and outbound metadata flows to keep your catalog in sync with Knowledge Catalog.
- Inbound: Integrates metadata from Knowledge Catalog into Collibra Platform. The resulting assets represent Views, Entries, and Aspects. You can also optionally ingest GCP Data Products and their ports.
- Outbound: Pushes enriched metadata from Collibra Platform back to aspects in Knowledge Catalog. Updates to assets in Collibra, such as the definition of business context, policies, ownership, and data quality rules, are also reflected in Knowledge Catalog. Any attribute changes in Collibra Platform are reflected for all supported asset types in the Knowledge Catalog integration. This includes Schema, Table, Database View, and Column assets.
For information about Knowledge Catalog, go to the Google documentation.
Important
Supported data sources
The Knowledge Catalog integration allows you to ingest metadata from the following supported data sources:
Google BigQuery
Currently, only assets that belong to the BigQuery Entry Group in Knowledge Catalog are ingested. If you enable data product ingestion, GCP Data Product and Data Product Port assets are also ingested.
When you integrate the metadata, you can also profile and classify the data, and request sample data without registering a BigQuery data source via the BigQuery JDBC driver. For more information about working with BigQuery, go to Ways to integrate Google BigQuery data sources. To learn how to integrate Knowledge Catalog with sampling, profiling, and classification, go to Steps: Integrate Google Knowledge Catalog via Edge.
Cloud SQL
The Cloud SQL ingestion integrates metadata about instances, databases, schemas, tables, and columns from Knowledge Catalog. It currently supports three types of databases:
- MySQL
- PostgreSQL
- SQL Server
Knowledge Catalog outbound synchronization is currently not supported for Cloud SQL assets. It may be supported in a future release.