DatriseAI-first ETL

Workday Amazon QuickSight

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

How Datrise loads Workday into Amazon QuickSight

Datrise syncs Workday's HR, finance entities, organizational structures, and operational events into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Workday: Enterprise HR and finance source for operational reporting.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Workday entities map to Amazon QuickSight

Workday entityAmazon QuickSight objectNotes
HRworkday_hrid PK · custom fields → flattened columns for analyses
finance entitiesworkday_finance_entitiesid PK · linked to workday_hr
organizational structuresworkday_organizational_structuresid PK · linked to workday_hr
operational eventsworkday_operational_eventsdate/time fields events

FAQ

How does Datrise handle Workday's custom fields in Amazon QuickSight?

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

How does the Workday to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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