DatriseAI-first ETL

Impartner to Yellowfin Integration

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

How Datrise loads Impartner into Yellowfin

Datrise syncs Impartner's partners, deal registrations, opportunities, tiers, MDF requests, and partner contacts 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

Impartner: Channel management for partner tiers and co-sell.

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

How Impartner entities map to Yellowfin

Impartner entityYellowfin objectNotes
partnersimpartner_partnersid PK · custom fields → flattened columns
deal registrationsimpartner_deal_registrationsid PK · linked to impartner_partners
opportunitiesimpartner_opportunitiesid PK · linked to impartner_partners
tiersimpartner_tiersid PK · linked to impartner_partners

FAQ

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

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

Related pipelines

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