DatriseAI-first ETL

Workday RaaS to Snowflake Integration

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

How Datrise loads Workday RaaS into Snowflake

Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

Workday RaaS: Workday HR reports delivered as a service.

Snowflake: Cloud data warehouse with separated compute and storage.

How Workday RaaS entities map to Snowflake

Workday RaaS entitySnowflake objectNotes
workersworkday_raas_workersid PK · custom fields → VARIANT 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 Snowflake?

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

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

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

Related pipelines

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