DatriseAI-first ETL

Workday Redash

AI-first ETL from Workday into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads Workday into Redash

Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Workday: Enterprise HR and finance source for operational reporting.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Workday entities map to Redash

Workday entityRedash objectNotes
HRworkday_hrid PK · custom fields → flattened columns for query results
finance entitiesworkday_finance_entitiesid PK · linked to workday_hr
organizational structuresworkday_organizational_structuresid PK · linked to workday_hr
operational eventsworkday_operational_eventstemporal columns events

FAQ

How does Datrise handle Workday's custom fields in Redash?

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

How does the Workday to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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