DatriseAI-first ETL

Agendor Yellowfin

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

How Datrise loads Agendor into Yellowfin

Datrise syncs Agendor's contacts, accounts, deals, activities, and lifecycle events 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

Agendor: CRM widely used in Latin America for sales pipeline and customer ops.

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

How Agendor entities map to Yellowfin

Agendor entityYellowfin objectNotes
contactsagendor_contactsid PK · custom fields → flattened columns
accountsagendor_accountsid PK · linked to agendor_contacts
dealsagendor_dealsid PK · linked to agendor_contacts
activitiesagendor_activitiesdate/time dimensions events

FAQ

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

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

Related pipelines

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