DatriseAI-first ETL

Google Analytics 360 Spotfire

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

How Datrise loads Google Analytics 360 into Spotfire

Datrise syncs Google Analytics 360's records, events, and configuration objects into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Google Analytics 360 entities map to Spotfire

Google Analytics 360 entitySpotfire objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → flattened columns for visualizations
eventsgoogle_analytics_360_eventsdate/time columns 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 Spotfire?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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