Workday RaaS to Amazon Redshift Integration
AI-first ETL from Workday RaaS into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workday RaaS into Amazon Redshift
Datrise syncs Workday RaaS's workers, organizations, job profiles, compensation records, absence records, and report rows into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Workday RaaS: Workday HR reports delivered as a service.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Workday RaaS entities map to Amazon Redshift
| Workday RaaS entity | Amazon Redshift object | Notes |
|---|---|---|
| workers | workday_raas_workers | id PK · custom fields → SUPER columns |
| organizations | workday_raas_organizations | id PK · linked to workday_raas_workers |
| job profiles | workday_raas_job_profiles | id PK · linked to workday_raas_workers |
| compensation records | workday_raas_compensation_records | id PK · linked to workday_raas_workers |
FAQ
How does Datrise handle Workday RaaS's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Workday RaaS to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Workday RaaS
- Workday RaaS → Databricks SQL Warehouse
- Workday RaaS → ClickHouse
- Workday RaaS → DuckDB
- Workday RaaS → Amazon Athena
- Workday RaaS → Amazon S3 Data Lake
- Workday RaaS → Azure Data Lake Storage
- Workday RaaS → Azure Synapse
- Workday RaaS → Spreadsheets
- Workday RaaS → Airtable
- Workday RaaS → CSV Files
- Workday RaaS → MongoDB
- Workday RaaS → Supabase
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Early access
Connect Workday RaaS to Amazon Redshift the easy way
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