DatriseAI-first ETL

Google Analytics 360 MicroStrategy

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

How Datrise loads Google Analytics 360 into MicroStrategy

Datrise syncs Google Analytics 360's records, events, and configuration objects into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Google Analytics 360 entities map to MicroStrategy

Google Analytics 360 entityMicroStrategy objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → flattened columns
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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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