DatriseAI-first ETL

Workday RaaS to Apache Superset Integration

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

How Datrise loads Workday RaaS into Apache Superset

Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Workday RaaS: Workday HR reports delivered as a service.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Workday RaaS entities map to Apache Superset

Workday RaaS entityApache Superset objectNotes
workersworkday_raas_workersid PK · custom fields → flattened columns for the explore UI
organizationsworkday_raas_organizationsid PK · linked to workday_raas_workers
job profilesworkday_raas_job_profilesid PK · linked to workday_raas_workers
compensation recordsworkday_raas_compensation_recordsid PK · linked to workday_raas_workers

FAQ

How does Datrise handle Workday RaaS's custom fields in Apache Superset?

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

How does the Workday RaaS to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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