DatriseAI-first ETL

SAP Yellowfin

AI-first ETL from SAP into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads SAP into Yellowfin

Datrise syncs SAP's finance, procurement, operations, and master-data entities into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

SAP: ERP source for finance, operations, and procurement entities.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How SAP entities map to Yellowfin

SAP entityYellowfin objectNotes
financesap_financeid PK · custom fields → flattened columns
procurementsap_procurementid PK · linked to sap_finance
operationssap_operationsid PK · linked to sap_finance
master-data entitiessap_master_data_entitiesid PK · linked to sap_finance

FAQ

How does Datrise handle SAP's custom fields in Yellowfin?

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

How does the SAP to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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