Why Dual-Engine SQL Matters (MSSQL + PostgreSQL) — Checklist addresses a problem most SAP landscapes know too well: Stale warehouses and failed night jobs undermine dashboards the C-suite already promoted.
Millions of rows leave SAP nightly through the same engine you test with First Row Test — no separate ETL product to license and wire up.
Millions of rows leave SAP nightly through the same engine you test with First Row Test — no separate ETL product to license and wire up.
Capabilities you use in iDataEngine
- Package size and parallel processing
- SQL Job Monitor with cron schedules
- Masking on SAP → SQL direction
- MSSQL and PostgreSQL dual-engine parity
- Methods I, A, U, D, L with delta parameters
- First Row Test and Package Error Data popup
Recommended workflow
- 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.
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
Real-world scenario (2023)
A delta-L job refreshes only the last 30 days of billing documents — full history preserved, nightly window stays inside SLA.
Why it matters
Delta methods save SAP and SQL load; upsert keeps master data current without full-table deletes that frighten operations.
The competitive edge is not more developers; it is removing wait states between idea, data, and delivery.