DatriseAI-first ETL

Google Analytics 360 Holistics

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

How Datrise loads Google Analytics 360 into Holistics

Datrise syncs Google Analytics 360's records, events, and configuration objects into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Google Analytics 360 entities map to Holistics

Google Analytics 360 entityHolistics objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → flattened columns for the modeling layer
eventsgoogle_analytics_360_eventsdate/time 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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Google Analytics 360 to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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