DDIC Orchestration for TSAP Targets addresses a problem most SAP landscapes know too well: One-way ETL diagrams lie when pricing, status, and staging must return to SAP.
Target tables in SAP are created and activated through a guided wizard with a consistent naming convention — no ad-hoc custom development, and no writes that bypass SAP's own change tracking.
Scheduler integration lets reverse loads run unattended once mappings pass dry-run validation.
Capabilities you use in iDataEngine
- Field mapping SQL → SAP (30-char names)
- Mapping method and summary list options
- Dry-run validation before production
- One central, audited write path into SAP
- L type: online file upload max 32 MB
- Consistent naming for every generated table and field
Recommended workflow
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
- Enable monitoring alerts and review dashboard KPIs for the first production cycle.
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
- Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
Real-world scenario (2025)
A CSV upload of vendor extensions lands in SAP online (L type) for urgent onboarding — same mapping as scheduled Q-type loads, different entry point.
Why it matters
Closing the loop means architecture diagrams stop lying about 'one-way only' data flows.
The competitive edge is not more developers; it is removing wait states between idea, data, and delivery.