DatriseAI-first ETL

Onesignal to Yellowfin Integration

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

How Datrise loads Onesignal into Yellowfin

Datrise syncs Onesignal's notifications, subscribers, segments, apps, delivery events, and outcomes 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

Onesignal: Push, in-app, and email message delivery.

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

How Onesignal entities map to Yellowfin

Onesignal entityYellowfin objectNotes
notificationsonesignal_notificationsid PK · custom fields → flattened columns
subscribersonesignal_subscribersid PK · linked to onesignal_notifications
segmentsonesignal_segmentsid PK · linked to onesignal_notifications
appsonesignal_appsid PK · linked to onesignal_notifications

FAQ

How does Datrise handle Onesignal'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 Onesignal 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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