DatriseAI-first ETL

Workday Raas Birst

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

How Datrise loads Workday Raas into Birst

Datrise syncs Workday Raas's records, events, and configuration objects into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Workday Raas: SaaS or API data source for analytics and warehouse sync.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Workday Raas entities map to Birst

Workday Raas entityBirst objectNotes
recordsworkday_raas_recordsid PK · custom fields → flattened columns
eventsworkday_raas_eventsdate/time dimensions events
configuration objectsworkday_raas_configuration_objectsid PK · linked to workday_raas_records

FAQ

How does Datrise handle Workday Raas's custom fields in Birst?

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

How does the Workday Raas to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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