SAP → GoodData
AI-first ETL from SAP into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP into GoodData
Datrise syncs SAP's finance, procurement, operations, and master-data entities into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
SAP: ERP source for finance, operations, and procurement entities.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How SAP entities map to GoodData
| SAP entity | GoodData object | Notes |
|---|---|---|
| finance | sap_finance | id PK · custom fields → flattened columns |
| procurement | sap_procurement | id PK · linked to sap_finance |
| operations | sap_operations | id PK · linked to sap_finance |
| master-data entities | sap_master_data_entities | id PK · linked to sap_finance |
FAQ
How does Datrise handle SAP's custom fields in GoodData?
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 GoodData types.
How does the SAP to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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