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19.3 Datasphere in Business Data Cloud

1. Datasphere's role​

SAP Datasphere contributes:

  • data integration,
  • semantic modeling,
  • harmonization,
  • cataloging,
  • data product capabilities,
  • virtualization,
  • data warehousing.

SAP explicitly positions Datasphere as a key component of BDC and as the foundation for business semantics and data modeling.

2. What changes for a Datasphere architect​

The question changes from:

How do I build this model in Datasphere?

to:

What should Datasphere own in the enterprise data fabric?

3. Ownership model​

Source system
   -> source truth
Datasphere
   -> harmonization + semantics
Data product
   -> reusable contract
BDC consumer
   -> analytics / AI / application

4. Avoid centralization by default​

Datasphere should not become the dumping ground for every enterprise dataset.

Persist data when it creates value through:

  • harmonization,
  • reuse,
  • performance,
  • governance,
  • recovery,
  • semantic ownership.

5. Exercise​

For a 30-domain enterprise, define:

  • central semantic responsibilities,
  • domain responsibilities,
  • shared data products,
  • domain data products,
  • ownership escalation rules.