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Phase 18 — HANA, Cloud & Non-SAP Integration

This phase expands the Datasphere integration architecture beyond SAP application systems.

The goal is to teach a repeatable method for integrating SAP HANA Cloud, databases, cloud warehouses, object storage, partner platforms and custom applications without turning Datasphere into an uncontrolled copy engine.

HANA Cloud, cloud and non-SAP integration architecture

Phase map​

TutorialOutcome
18.1 Integration Mental ModelChoose federation, replication, ETL or push patterns
18.2 SAP HANA Cloud IntegrationUnderstand HANA Cloud and Datasphere boundaries
18.3 Remote Tables & FederationEngineer virtual access and remote-query performance
18.4 Replication & PersistenceDesign durable copies and freshness strategies
18.5 Open SQL & External WritesIntegrate ETL tools and applications
18.6 Cloud WarehousesIntegrate Redshift, Snowflake-style and similar platforms
18.7 Object Storage & Data LakesDesign file and lake integration
18.8 Databases & JDBC/ODBC PatternsIntegrate relational non-SAP systems
18.9 APIs, Partners & Application DataHandle application-oriented ingestion
18.10 Security & Network ArchitectureDesign secure hybrid connectivity
18.11 Troubleshooting & Performance LabsDiagnose federation, replication and connectivity issues
18.12 Enterprise Multi-Cloud ArchitectureBuild an enterprise integration strategy
18.13 Playbook & Architect ChecklistApply the complete decision framework

The core decision​

For every source, answer these questions before choosing a connection:

  1. Does the consumer need live data?
  2. Is the source workload tolerant of federated queries?
  3. Does Datasphere need durable persistence?
  4. What freshness SLA is required?
  5. What is the expected data volume?
  6. Where should transformation execute?
  7. Who owns the source and target?
  8. What security boundary must be preserved?
  9. What happens when the source is unavailable?
  10. What is the retirement or change strategy?

Integration modes​

                 NON-SAP / CLOUD SOURCE
                         |
          +--------------+--------------+
          |              |              |
      Federation     Replication     ETL / Push
          |              |              |
          v              v              v
      Remote table    Local table    Open SQL / flow
          |              |              |
          +--------------+--------------+
                         |
                    DATASPHERE
                         |
                 semantic products
                         |
                    consumers

SAP Datasphere supports remote-table federation and replication for supported connections, data flows for many SAP and non-SAP sources, replication flows for delta-oriented loading, and Open SQL schemas for external tools to write data into a space. Always verify the supported feature matrix for the specific connection type before designing the solution.

Architect principle​

Connectivity is not architecture.

A successful connection can still produce:

  • excessive source load,
  • unpredictable query latency,
  • duplicate persistence,
  • weak security boundaries,
  • difficult recovery,
  • uncontrolled cost.

The architecture is the combination of connectivity + data movement + runtime + semantics + security + operations.

Official references​