Ga4 → GoodData
AI-first ETL from Ga4 into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ga4 into GoodData
Datrise syncs Ga4's records, events, and configuration objects 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
Ga4: SaaS or API data source for analytics and warehouse sync.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Ga4 entities map to GoodData
| Ga4 entity | GoodData object | Notes |
|---|---|---|
| records | ga4_records | id PK · custom fields → flattened columns |
| events | ga4_events | date dimensions events |
| configuration objects | ga4_configuration_objects | id PK · linked to ga4_records |
FAQ
How does Datrise handle Ga4'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 Ga4 to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Ga4
More sources for GoodData
Early access
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