DatriseAI-first ETL

PCRecruiter Yellowfin

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

How Datrise loads PCRecruiter into Yellowfin

Datrise syncs PCRecruiter'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

PCRecruiter: Recruiting CRM/ATS for candidates, pipelines, and placements.

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

How PCRecruiter entities map to Yellowfin

PCRecruiter entityYellowfin objectNotes
contactspcrecruiter_contactsid PK · custom fields → flattened columns
accountspcrecruiter_accountsid PK · linked to pcrecruiter_contacts
dealspcrecruiter_dealsid PK · linked to pcrecruiter_contacts
activitiespcrecruiter_activitiesdate/time dimensions events

FAQ

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

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

Related pipelines

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