DatriseAI-first ETL

Workday RaaS to Azure Synapse Integration

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

How Datrise loads Workday RaaS into Azure Synapse

Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Workday RaaS: Workday HR reports delivered as a service.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Workday RaaS entities map to Azure Synapse

Workday RaaS entityAzure Synapse objectNotes
workersworkday_raas_workersid PK · custom fields → NVARCHAR(MAX) JSON columns
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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Workday RaaS to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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