Google Drive → Looker
AI-first ETL from Google Drive into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into Looker
Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Google Drive: Cloud file storage often used for operational exports.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Google Drive entities map to Looker
| Google Drive entity | Looker object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| folders | google_drive_folders | id PK · linked to google_drive_files |
| permissions | google_drive_permissions | id PK · linked to google_drive_files |
| revision metadata | google_drive_revision_metadata | id PK · linked to google_drive_files |
FAQ
How does Datrise handle Google Drive's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Google Drive to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Google Drive
Early access
Connect Google Drive to Looker the easy way
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