DatriseAI-first ETL

Outreach Yellowfin

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

How Datrise loads Outreach into Yellowfin

Datrise syncs Outreach's sequence activity, pipeline execution metrics, and sales engagement events 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

Outreach: Sales execution platform for sequence activity and pipeline outcomes.

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

How Outreach entities map to Yellowfin

Outreach entityYellowfin objectNotes
sequence activityoutreach_sequence_activitydate/time dimensions events
pipeline execution metricsoutreach_pipeline_execution_metricsid PK · linked to outreach_sequence_activity
sales engagement eventsoutreach_sales_engagement_eventsdate/time dimensions events

FAQ

How does Datrise handle Outreach'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 Outreach to Yellowfin sync stay up to date?

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

Related pipelines

Early access

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