DatriseAI-first ETL

Google Analytics 360 GoodData

AI-first ETL from Google Analytics 360 into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 360 into GoodData

Datrise syncs Google Analytics 360'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

Google Analytics 360: SaaS or API data source for analytics and warehouse sync.

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

How Google Analytics 360 entities map to GoodData

Google Analytics 360 entityGoodData objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → flattened columns
eventsgoogle_analytics_360_eventsdate dimensions events
configuration objectsgoogle_analytics_360_configuration_objectsid PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360'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 Analytics 360 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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