Workday → ThoughtSpot
AI-first ETL from Workday into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workday into ThoughtSpot
Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Workday: Enterprise HR and finance source for operational reporting.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Workday entities map to ThoughtSpot
| Workday entity | ThoughtSpot object | Notes |
|---|---|---|
| HR | workday_hr | id PK · custom fields → flattened columns for searchable fields |
| 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 | date/time columns events |
FAQ
How does Datrise handle Workday's custom fields in ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Workday to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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