Phase 21 — Enterprise Datasphere Architecture
This phase is the architecture handbook for designing SAP Datasphere as an enterprise data platform rather than as a collection of individual models.
SAP positions Datasphere as a business data fabric capability that combines data integration, cataloging, semantic modeling, data warehousing, virtualization and consumption across SAP and non-SAP landscapes.
Architecture outcome
You will learn to design:
Sources -> Integration -> Data Products -> Semantic Layer -> Analytics -> Governance -> Operations
across domains, tenants, spaces, workloads and environments.
Learning sequence
- Enterprise architecture mental model
- Architecture principles
- Domain and space architecture
- Data layers and modeling zones
- Integration architecture
- Semantic and analytical architecture
- Data products and sharing
- Security architecture
- Governance and metadata
- Workload and performance architecture
- Multi-tenant and multi-environment architecture
- Enterprise operating architecture
- Reference architectures and labs
- Architect playbook
Core principle
Design the data operating model first; then choose Datasphere objects that implement it.