Workday → Mode
AI-first ETL from Workday into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workday into Mode
Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Workday: Enterprise HR and finance source for operational reporting.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Workday entities map to Mode
| Workday entity | Mode object | Notes |
|---|---|---|
| HR | workday_hr | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Workday to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Workday
Early access
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