DatriseAI-first ETL

VinSolutions to Yellowfin Integration

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

How Datrise loads VinSolutions into Yellowfin

Datrise syncs VinSolutions's leads, customers, vehicles, deals, appointments, and service records 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

VinSolutions: Dealer CRM tied to inventory and equity mining.

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

How VinSolutions entities map to Yellowfin

VinSolutions entityYellowfin objectNotes
leadsvinsolutions_leadsid PK · custom fields → flattened columns
customersvinsolutions_customersid PK · linked to vinsolutions_leads
vehiclesvinsolutions_vehiclesid PK · linked to vinsolutions_leads
dealsvinsolutions_dealsid PK · linked to vinsolutions_leads

FAQ

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

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

Related pipelines

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