12 releases · 2 this month
Governance workflows in Knowledge Catalog support batch metadata change requests. You can group up to 250 create, update, and delete operations for entries and entry links into a single change request and curate batch proposals generated by the enrichment agent before approval. This feature is available in preview .
Knowledge Studio in Knowledge Catalog is available in Preview . Knowledge Studio lets you explore data assets and semantic relationships using natural language and an interactive context graph, run automated enrichment tasks to generate and curate metadata from schemas, query logs, and enterprise knowledge signals, and package curated domain knowledge into...
Data lineage support for Looker (Google Cloud core) is now generally available. This includes visualization of data flows from BigQuery through the Looker semantic layer to downstream assets.
Data products in Knowledge Catalog now support Looker (Google Cloud core) assets. You can package, govern, and share Looker (Google Cloud core) dashboards, dashboard elements, Looks, Explores, and LookML projects, models, and views in a data product using Google Group mirroring and IAM access controls. This feature is generally available .
Knowledge Catalog support for importing dbt metadata is now generally available and includes the following updates: You can import metadata from dbt Cloud job runs using the dbt Cloud interface, the dbt platform CLI, or the dbt Administrative API and webhooks.
Metadata for BigQuery Graph is now automatically ingested and searchable in Knowledge Catalog. This feature is available in preview . For more information, see Knowledge Catalog overview .
Data domains logically organize resources across an enterprise so teams can discover and curate data at scale.
Knowledge Catalog support for importing metadata from dbt Core and MetricFlow is available in Preview . You can use the gcloud alpha dataplex dbt metadata-jobs command to extract and import technical, semantic (MetricFlow), operational, data quality, and lineage metadata from dbt Core artifacts into Knowledge Catalog.
Governance workflows add automated controls for data product access management through a request-review mechanism.
Data lineage can now be controlled at the organization, folder or project level for BigQuery, Managed Service for Apache Spark and Managed Service for Apache Airflow.
New connectors extract technical, operational and business metadata from SQL Server and PostgreSQL and import it into Knowledge Catalog entry groups on a schedule.
Data catalog, quality and governance.
Other Google Cloud products: AlloyDB, BigQuery, Cloud Run, Cloud SQL, Dataflow, Gemini API, Gemini CLI, Gemini Enterprise, Gemini Enterprise Agent Platform, Google Kubernetes Engine, Looker, Pub/Sub, Spanner
| Release-notes page | Site | Feed |
|---|---|---|
| Dataplex docs.cloud.google.com | docs.cloud.google.com | RSS |
| Cloud SQL for MySQL docs.cloud.google.com | docs.cloud.google.com | RSS |
| Cloud SQL for PostgreSQL docs.cloud.google.com | docs.cloud.google.com | RSS |
| Colab Enterprise docs.cloud.google.com | docs.cloud.google.com | None |
| Dataflow docs.cloud.google.com | docs.cloud.google.com | RSS |
| Dataproc docs.cloud.google.com | docs.cloud.google.com | RSS |
| Firestore docs.cloud.google.com | docs.cloud.google.com | None |
| Gemini Enterprise – Business edition release notes support.google.com | support.google.com | None |
| Google Cloud all release notes docs.cloud.google.com | docs.cloud.google.com | RSS |
| Pub/Sub docs.cloud.google.com | docs.cloud.google.com | RSS |
| Vertex AI / Agent Platform docs.cloud.google.com | docs.cloud.google.com | RSS |
| Vertex AI generative AI docs.cloud.google.com | docs.cloud.google.com | None |
| Gemini Apps' release updates & improvements gemini.google | gemini.google | None |
Releasesby Glyph