DatriseAI-first ETL

Workday RaaS to Microsoft SQL Server Integration

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

How Datrise loads Workday RaaS into Microsoft SQL Server

Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Workday RaaS: Workday HR reports delivered as a service.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Workday RaaS entities map to Microsoft SQL Server

Workday RaaS entityMicrosoft SQL Server 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 Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the Workday RaaS to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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