Ga4 → Yellowfin
AI-first ETL from Ga4 into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ga4 into Yellowfin
Datrise syncs Ga4's records, events, and configuration objects into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Ga4: SaaS or API data source for analytics and warehouse sync.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Ga4 entities map to Yellowfin
| Ga4 entity | Yellowfin object | Notes |
|---|---|---|
| records | ga4_records | id PK · custom fields → flattened columns |
| events | ga4_events | date/time dimensions events |
| configuration objects | ga4_configuration_objects | id PK · linked to ga4_records |
FAQ
How does Datrise handle Ga4's custom fields in Yellowfin?
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 Yellowfin types.
How does the Ga4 to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect Ga4 to Yellowfin the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.