Participants establish the process foundation for SAP Datasphere Architecture, Spaces, Connections, and Governance. The work is grounded in an analytics team building a governed semantic layer that combines SAP and non-SAP data without losing business meaning or ownership and contributes directly to governed SAP Datasphere analytics.
The instructor traces Datasphere architecture, space management, source connections, governance responsibilities through the scenario, explaining navigation, decisions, dependencies, system responses, and the evidence retained in Datasphere architecture and space design workbook. The walkthrough also investigates the condition where a connection is technically valid but exposes tables to an unintended development space.
Complete a controlled activity covering Datasphere architecture, space management, source connections, governance responsibilities and preserve the result in Datasphere architecture and space design workbook.
Start at the earliest point where expected behavior differs from the observed result. Review process sequence, relevant data, configuration, authorization, integration, and timing as separate hypotheses. Treat “a connection is technically valid but exposes tables to an unintended development space” as unconfirmed until settings, documents, logs, reports, and focused retesting support the cause.
Learners can apply SAP Datasphere Architecture, Spaces, Connections, and Governance, explain the resulting SAP behavior, and defend the outcome through Datasphere architecture and space design workbook.