DatriseAI-first ETL

Google Analytics Tableau

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

How Datrise loads Google Analytics into Tableau

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

Google Analytics: Web and product analytics for behavior and traffic insights.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Google Analytics entities map to Tableau

Google Analytics entityTableau objectNotes
sessionsgoogle_analytics_sessionsid PK · custom fields → flattened columns for Tableau fields
eventsgoogle_analytics_eventsdate/datetime fields events
channelsgoogle_analytics_channelsid PK · linked to google_analytics_sessions
conversionsgoogle_analytics_conversionsid PK · linked to google_analytics_sessions

FAQ

How does Datrise handle Google Analytics's custom fields in Tableau?

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

How does the Google Analytics to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

Early access

Connect Google Analytics to Tableau the easy way

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