BDC Data Engineering Patterns

As of 2026-05-29

Data engineering on BDC works when patterns respect the governed-semantic foundation, not when BDC is treated as a generic Spark cluster. Medallion (bronze/silver/gold) with an SAP twist: governed data products (M033) often already provide the conformed semantic layer — engineer silver/gold on top, don't re-bronze. Delta Lake gives ACID (safe re-runs), time travel (reproducible/auditable results, M077), schema evolution (contracts grow without breaking consumers). Incremental/CDC, not nightly full-reload (volume discipline, M071). Idempotency (merge/upsert on keys) is the reliability pattern — non-idempotent pipelines double-count on retry. Dependency-aware orchestration + loud observability (M045) — silent failure lets bad data reach a decision. Batch by default, streaming only where the decision needs it (M095). Trustworthy+performant pipelines on governed SAP data is the rate-setting skill.