DatriseAI-first ETL

Workday Raas MicroStrategy

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

How Datrise loads Workday Raas into MicroStrategy

Datrise syncs Workday Raas's records, events, and configuration objects into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Workday Raas entities map to MicroStrategy

Workday Raas entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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