Datasource Setup Visibility, LookML Enrichment, and Enhanced Schema Management

Live Setup Progress and Full Resync for Looker Datasources

When you connect a Looker datasource, a real-time progress card now tracks each setup stage—validation, schema sync, LookML sync, behavioral analysis, AI enrichment, and schema reconcile—so you can see exactly where your datasource is in the connection process.

For existing Looker datasources, a Full Resync button lets you re-run the entire pipeline whenever you need a fresh analysis.

LookML Augmentation for AI-Generated Field Descriptions

Connect your GitHub repository to enable AI-generated field descriptions sourced directly from your LookML semantic layer. These descriptions appear automatically in your schema, giving your team instant access to semantic context without manual documentation work.

Redesigned Schema Tab with Field Description Management

The schema tab now uses a two-panel layout that matches your project schema explorer, with explores and tables on the left and fields on the right.

Field descriptions now show which tier they come from—Source, AI, or Edited—and admins can edit descriptions inline. Overrides persist across every refresh, so your customizations stay in place.

AI Descriptions Toggle

Admins can now disable AI descriptions per-datasource with a simple on/off toggle. When you re-enable AI descriptions later, they restore instantly from cached enrichment data without requiring a full source re-fetch.

Improvements

• Looker datasources with missing system activity permissions now complete setup with an amber warning

• The full enrichment pipeline (behavioral analysis, semantic enrichment, and schema revalidation) now fires automatically after connecting a datasource

• Workflows now have batch-unsubscribe functionality for more flexible subscription management