Google Drive → Tableau
AI-first ETL from Google Drive into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into Tableau
Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
Google Drive: Cloud file storage often used for operational exports.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Google Drive entities map to Tableau
| Google Drive entity | Tableau object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → flattened columns for Tableau fields |
| 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 Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the Google Drive to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for Google Drive
Early access
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