Workday → Chartio
AI-first ETL from Workday into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workday into Chartio
Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Workday: Enterprise HR and finance source for operational reporting.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Workday entities map to Chartio
| Workday entity | Chartio object | Notes |
|---|---|---|
| HR | workday_hr | id PK · custom fields → flattened columns for visual SQL |
| finance entities | workday_finance_entities | id PK · linked to workday_hr |
| organizational structures | workday_organizational_structures | id PK · linked to workday_hr |
| operational events | workday_operational_events | temporal columns events |
FAQ
How does Datrise handle Workday's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Workday to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Workday
Early access
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