DatriseAI-first ETL

Google Directory to Tableau Integration

AI-first ETL from Google Directory into Tableau. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Directory into Tableau

Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles 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 Directory: Workspace user, group, and device directory.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Google Directory entities map to Tableau

Google Directory entityTableau objectNotes
usersgoogle_directory_usersid PK · custom fields → flattened columns for Tableau fields
groupsgoogle_directory_groupsid PK · linked to google_directory_users
group membersgoogle_directory_group_membersid PK · linked to google_directory_users
organizational unitsgoogle_directory_organizational_unitsid PK · linked to google_directory_users

FAQ

How does Datrise handle Google Directory'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 Directory 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

Early access

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