DatriseAI-first ETL

Autopilot Activities Yellowfin

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

How Datrise loads Autopilot Activities into Yellowfin

Datrise syncs Autopilot Activities's records, events, and configuration objects 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

Autopilot Activities: SaaS or API data source for analytics and warehouse sync.

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

How Autopilot Activities entities map to Yellowfin

Autopilot Activities entityYellowfin objectNotes
recordsautopilot_activities_recordsid PK · custom fields → flattened columns
eventsautopilot_activities_eventsdate/time dimensions events
configuration objectsautopilot_activities_configuration_objectsid PK · linked to autopilot_activities_records

FAQ

How does Datrise handle Autopilot Activities'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 Autopilot Activities 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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