DatriseAI-first ETL

Google Directory to ThoughtSpot Integration

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

How Datrise loads Google Directory into ThoughtSpot

Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Google Directory: Workspace user, group, and device directory.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Google Directory entities map to ThoughtSpot

Google Directory entityThoughtSpot objectNotes
usersgoogle_directory_usersid PK · custom fields → flattened columns for searchable 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 ThoughtSpot?

Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.

How does the Google Directory to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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