DatriseAI-first ETL

PCRecruiter to Tableau Integration

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

How Datrise loads PCRecruiter into Tableau

Datrise syncs PCRecruiter's candidates, positions, companies, activities, pipelines, and placements into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

PCRecruiter: Recruiting database for candidate and client relationships.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How PCRecruiter entities map to Tableau

PCRecruiter entityTableau objectNotes
candidatespcrecruiter_candidatesid PK · custom fields → flattened columns for Tableau fields
positionspcrecruiter_positionsid PK · linked to pcrecruiter_candidates
companiespcrecruiter_companiesid PK · linked to pcrecruiter_candidates
activitiespcrecruiter_activitiesdate/datetime fields events

FAQ

How does Datrise handle PCRecruiter's custom fields in Tableau?

Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.

How does the PCRecruiter to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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