As of April 20th, 2026, BigLake is now called Lakehouse. BigLake metastore is now called the Lakehouse runtime catalog. Lakehouse APIs, client libraries, CLI commands, and IAM names remain unchanged and still reference BigLake.
Troubleshoot cross-cloud data access for Databricks Unity Catalog
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Cross-cloud data access in borderless Lakehouse lets you query remote
Databricks Unity Catalog tables without moving data. If federated tables don't
appear after a metadata refresh, you can diagnose and resolve common permission
and storage configuration issues in Unity Catalog. For general cross-cloud data
access troubleshooting, such as connectivity and routing over private
interconnects, see Troubleshoot cross-cloud data access.
Tables are empty or not discovered during refresh
If the catalog background metadata refresh indicates success (such as
Refresh successfully completed), but tables in the federated catalog do not
appear or listing tables returns 0 items, check the following:
EXTERNAL USE SCHEMA privilege: Verify that the Databricks Service
Principal has been granted the EXTERNAL USE SCHEMA privilege on the target
schemas or catalog in Unity Catalog. Without this privilege, background
metadata refresh and credential vending for queries will fail.
External data access setting: Verify that External data access is
enabled on the Databricks Unity Catalog metastore.
External location: Verify that the Databricks Unity Catalog and tables
use an external storage location (such as Cloud Storage or Amazon S3)
rather than default storage.
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