DatriseAI-first ETL

Google Directory to Spotfire Integration

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

How Datrise loads Google Directory into Spotfire

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

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Google Directory entities map to Spotfire

Google Directory entitySpotfire objectNotes
usersgoogle_directory_usersid PK · custom fields → flattened columns for visualizations
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 Spotfire?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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