Google Directory to Sisense Integration
AI-first ETL from Google Directory into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Directory into Sisense
Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Google Directory: Workspace user, group, and device directory.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Google Directory entities map to Sisense
| Google Directory entity | Sisense object | Notes |
|---|---|---|
| users | google_directory_users | id PK · custom fields → flattened columns for the cube |
| groups | google_directory_groups | id PK · linked to google_directory_users |
| group members | google_directory_group_members | id PK · linked to google_directory_users |
| organizational units | google_directory_organizational_units | id PK · linked to google_directory_users |
FAQ
How does Datrise handle Google Directory's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Google Directory to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
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Early access
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