This lesson applies Joins, Unions, Aggregations, and Cardinality within an analytics engineering team replacing duplicated reporting logic with reusable SAP HANA models serving finance, sales, and supply-chain applications. Learners connect SAP behavior, business intent, and retained evidence while working toward governed HANA models.
Using the stated scenario, the instructor demonstrates Join node behavior, Referential and text joins, Union mapping, Aggregation and duplicate control. Particular attention is given to object relationships, field or status behavior, integration effects, and how join and aggregation validation pack supports review. The demonstration deliberately introduces the exception where a many-to-many join silently inflates a key business measure.
Complete a controlled activity covering Join node behavior, Referential and text joins, Union mapping, Aggregation and duplicate control and preserve the final result in join and aggregation validation pack.
Start at the earliest point where expected SAP behavior differs from the observed result. Review process sequence, master data, organizational assignments, configuration, authorization, integration, and timing separately. Treat “a many-to-many join silently inflates a key business measure” as a testable hypothesis until settings, documents, logs, reports, and retest outcomes confirm the cause.
Learners can apply Joins, Unions, Aggregations, and Cardinality, explain the resulting SAP behavior, and defend the outcome through join and aggregation validation pack.