Stop Waiting on Mock Data — Field Guide addresses a problem most SAP landscapes know too well: Mock data and RFC queues steal sprint capacity from every digital squad.
Frontend teams consume a stable, named field set with simple summary and count options; backend teams skip digging through legacy function modules because REP already resolved the table relationships.
Frontend teams consume a stable, named field set with simple summary and count options; backend teams skip digging through legacy function modules because REP already resolved the table relationships.
Capabilities you use in iDataEngine
- OpenAPI-style metadata
- Consistent success/error handling patterns
- Live Test not mock JSON
- One utility for every table write operation
- Async API for bulk reads
- Log cockpit error clarity
Recommended workflow
- Enable monitoring alerts and review dashboard KPIs for the first production cycle.
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
Real-world scenario (2018)
Mobile dev pulls fieldset JSON; types match Test output — sprint avoids three integration defects.
Why it matters
Stable fieldsets mean frontend and backend stop arguing about types — contracts generated from truth, not assumptions.
Innovation here means business sees results faster — IT keeps control because every step is configured, tested, and monitored.