SAP Reference Architecture: Business Data Cloud, AI and Clean-Core Integration (Part 3)
Design modern SAP landscapes by treating S/4HANA core, BTP extensions, Business Data Cloud, integration and AI as governed architectural domains with explicit contracts.
Explanation
📌 KEY POINTS
✅ The challenge isn't connecting every product — it's assigning clear responsibility for each layer.
⚠️ Moving logic out of S/4HANA doesn't make it clean if the extension still depends on unreleased tables or unstable interfaces.
💡 Define identity, API/event contracts, data ownership, observability, and failure behavior BEFORE implementation.
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▶ 1. WHO OWNS WHAT
- S/4HANA — system of record for core ERP transactions
- BTP — side-by-side extensions and integration where independent lifecycle matters
- Business Data Cloud/Datasphere — governed analytical data products
- AI services — consume authorized business context, invoke only approved actions
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⚠️ 2. CLEAN CORE IS NOT JUST "MOVED OUT"
- An extension that depends on unreleased tables or unstable interfaces isn't clean, no matter where it physically runs
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▶ 3. DEFINE THESE BEFORE BUILDING
- Identity, API/event contracts, data ownership, observability, failure behavior
✅ CHECKPOINT: explain why relocating logic to BTP doesn't automatically make it clean-core compliant.
Real project scenario
An enterprise AI assistant initially queried replicated ERP tables directly. The architecture was redesigned to consume governed data products and released transactional APIs, separating analytical context from write operations.
Common mistakes
- Creating product diagrams with no ownership boundaries.
- Calling unreleased ERP internals from BTP.
- Letting AI become a bypass around authorization.
- Copying ERP data repeatedly with no data-product governance.
- Ignoring observability across domains.
Best practices
- Keep ERP transactional ownership clear.
- Use released APIs/events.
- Govern data products.
- Separate AI read context from write actions.
- Design identity and observability end to end.
Interview angle
Explain system-of-record, extension, data and AI responsibilities plus the contracts between them.
Practice this lesson
Quick check
1. In the lesson "SAP Reference Architecture: Business Data Cloud, AI and Clean-Core Integration", consider this project situation: An enterprise AI assistant initially queried replicated ERP tables directly. Which statement is correct?
2. For Clean Core Decision Framework for Custom Extensions, what is the strongest first troubleshooting approach?
3. For Security Architecture Across S/4HANA, BTP and Integration, what is the strongest first troubleshooting approach?
Interview questions
1. Six months after a clean-core S/4HANA go-live, custom BTP extensions built by different teams are starting to duplicate integration logic and cause inconsistent master data updates across systems. How would you diagnose and resolve this architecture drift?
Answer it in your own words first, then compare.
2. Design a reference architecture for a global enterprise running S/4HANA on a hyperscaler with multiple regional BTP subaccounts, ensuring consistent clean-core governance and centralized monitoring across regions.
Answer it in your own words first, then compare.
Reference-verified: the steps are checked against official SAP documentation and tutorials, and object and field names in the sample code are checked for consistency. The code has not been compiled or run on an SAP system by ERPClimb. Syntax marked release-dependent varies by SAP release, so check it in your own system.