DatriseAI-first ETL

PCRecruiter to Yellowfin Integration

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

How Datrise loads PCRecruiter into Yellowfin

Datrise syncs PCRecruiter's candidates, positions, companies, activities, pipelines, and placements 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 database for candidate and client relationships.

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

How PCRecruiter entities map to Yellowfin

PCRecruiter entityYellowfin objectNotes
candidatespcrecruiter_candidatesid PK · custom fields → flattened columns
positionspcrecruiter_positionsid PK · linked to pcrecruiter_candidates
companiespcrecruiter_companiesid PK · linked to pcrecruiter_candidates
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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