DatriseAI-first ETL

PCRecruiter Spotfire

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

How Datrise loads PCRecruiter into Spotfire

Datrise syncs PCRecruiter's contacts, accounts, deals, activities, and lifecycle events into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How PCRecruiter entities map to Spotfire

PCRecruiter entitySpotfire objectNotes
contactspcrecruiter_contactsid PK · custom fields → flattened columns for visualizations
accountspcrecruiter_accountsid PK · linked to pcrecruiter_contacts
dealspcrecruiter_dealsid PK · linked to pcrecruiter_contacts
activitiespcrecruiter_activitiesdate/time columns events

FAQ

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

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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