Adjust to Yellowfin Integration
AI-first ETL from Adjust into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Adjust into Yellowfin
Datrise syncs Adjust's installs, sessions, in-app events, campaigns, cohorts, 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
Adjust: Mobile measurement and attribution platform.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Adjust entities map to Yellowfin
| Adjust entity | Yellowfin object | Notes |
|---|---|---|
| installs | adjust_installs | id PK · custom fields → flattened columns |
| sessions | adjust_sessions | id PK · linked to adjust_installs |
| in-app events | adjust_in_app_events | date/time dimensions events |
| campaigns | adjust_campaigns | id PK · linked to adjust_installs |
FAQ
How does Datrise handle Adjust'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 Adjust to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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