DatriseAI-first ETL

Google Directory to GoodData Integration

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

How Datrise loads Google Directory into GoodData

Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Google Directory entities map to GoodData

Google Directory entityGoodData objectNotes
usersgoogle_directory_usersid PK · custom fields → flattened columns
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 GoodData?

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

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

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

Related pipelines

Early access

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