DatriseAI-first ETL

Workday RaaS to Spotfire Integration

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

How Datrise loads Workday RaaS into Spotfire

Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Workday RaaS: Workday HR reports delivered as a service.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Workday RaaS entities map to Spotfire

Workday RaaS entitySpotfire objectNotes
workersworkday_raas_workersid PK · custom fields → flattened columns for visualizations
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 Spotfire?

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

How does the Workday RaaS to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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