This lesson develops controlled execution of Data Builder, Graphical Views, SQL Views, and Data Flows. 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.
Using the scenario, the instructor demonstrates Data Builder objects, graphical views, SQL views, data flows and highlights object relationships, determination behavior, integration effects, and approval evidence. The demonstration deliberately introduces the exception where a join produces duplicated measures because the relationship cardinality is incorrect.
Complete a controlled activity covering Data Builder objects, graphical views, SQL views, data flows and preserve the result in Datasphere modeling and transformation evidence pack.
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 join produces duplicated measures because the relationship cardinality is incorrect” as unconfirmed until settings, documents, logs, reports, and focused retesting support the cause.
Learners can apply Data Builder, Graphical Views, SQL Views, and Data Flows, explain the resulting SAP behavior, and defend the outcome through Datasphere modeling and transformation evidence pack.