federate-lakehouse-catalog

You can query remote Databricks Unity Catalog tables from BigQuery by federating your Google Cloud Lakehouse catalog to the remote Iceberg catalog. This cross-cloud federation enables unified analytics and federated querying without moving your underlying data.

Cross-cloud lakehouse federation with AWS Glue connects your GCP Lakehouse to the remote AWS Glue Data Catalog. By aligning your region and Secret Manager configurations, you can run BigQuery federated queries that join remote Iceberg catalog data with local tables.

Yes, federating remote Iceberg catalogs requires a configured Google Cloud project, proper credentials, and region-aligned Secret Manager and federation catalogs. This secure orchestration ensures seamless and safe cross-cloud data access and discovery.

Yes, you can join AWS Glue and BigQuery data without moving it to GCP. The federation capability connects your Lakehouse to the remote AWS Glue Data Catalog, enabling federated querying directly from BigQuery across supported regions.

The best way to unify analytics across GCP and Databricks is federating your Google Cloud Lakehouse to the remote Databricks Unity Catalog. This approach provides cross-cloud data access and unified querying directly from BigQuery.

Yes, BigQuery federated queries on remote catalogs are subject to regional constraints. Successful cross-cloud federation requires region-aligned Secret Manager and federation catalogs configured within your Google Cloud project to ensure secure orchestration.