DatriseAI-first ETL

Google Analytics Yellowfin

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

How Datrise loads Google Analytics into Yellowfin

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

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

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Google Analytics entities map to Yellowfin

Google Analytics entityYellowfin objectNotes
sessionsgoogle_analytics_sessionsid PK · custom fields → flattened columns
eventsgoogle_analytics_eventsdate/time dimensions 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 Yellowfin?

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 Yellowfin types.

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

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

Related pipelines

Early access

Connect Google Analytics to Yellowfin the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.