DatriseAI-first ETL

AppsFlyer Yellowfin

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

How Datrise loads AppsFlyer into Yellowfin

Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints 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

AppsFlyer: Mobile attribution and marketing analytics platform.

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

How AppsFlyer entities map to Yellowfin

AppsFlyer entityYellowfin objectNotes
installsappsflyer_installsid PK · custom fields → flattened columns
in-app eventsappsflyer_in_app_eventsdate/time dimensions events
campaignsappsflyer_campaignsid PK · linked to appsflyer_installs
attribution touchpointsappsflyer_attribution_touchpointsid PK · linked to appsflyer_installs

FAQ

How does Datrise handle AppsFlyer'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 AppsFlyer 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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