Google Analytics 360 → Birst
AI-first ETL from Google Analytics 360 into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 360 into Birst
Datrise syncs Google Analytics 360's records, events, and configuration objects into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Google Analytics 360: SaaS or API data source for analytics and warehouse sync.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Google Analytics 360 entities map to Birst
| Google Analytics 360 entity | Birst object | Notes |
|---|---|---|
| records | google_analytics_360_records | id PK · custom fields → flattened columns |
| events | google_analytics_360_events | date/time dimensions events |
| configuration objects | google_analytics_360_configuration_objects | id PK · linked to google_analytics_360_records |
FAQ
How does Datrise handle Google Analytics 360's custom fields in Birst?
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 Birst types.
How does the Google Analytics 360 to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
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More sources for Birst
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