Workable to Yellowfin Integration
AI-first ETL from Workable into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workable into Yellowfin
Datrise syncs Workable's candidates, jobs, applications, interviews, offers, and pipeline stages 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
Workable: Recruiting pipeline and candidate evaluation.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Workable entities map to Yellowfin
| Workable entity | Yellowfin object | Notes |
|---|---|---|
| candidates | workable_candidates | id PK · custom fields → flattened columns |
| jobs | workable_jobs | id PK · linked to workable_candidates |
| applications | workable_applications | id PK · linked to workable_candidates |
| interviews | workable_interviews | id PK · linked to workable_candidates |
FAQ
How does Datrise handle Workable'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 Workable to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
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