From where does the Extract Semantics feature get the definition of hierarchies?

The Extract Semantics feature gets the definition of hierarchies from the underlying dimension views.

In the context of SAP HANA, dimension views are structured objects that provide a logical representation of data, often including hierarchies. These hierarchies are essential for organizing and analyzing data multidimensionally, facilitating operations such as drill-downs and roll-ups in analytical applications. When the Extract Semantics feature is utilized, it taps into these prepared structures to understand how data is related and organized within the model, particularly regarding hierarchies.

While other options may refer to relevant components in the data modeling process within SAP HANA, they do not specifically provide the hierarchy definitions required by Extract Semantics. For instance, table data sources may contain raw data, but they do not encapsulate the hierarchical relationships as explicitly defined in dimension views. Similarly, SQL views and calculation views serve different purposes within the data handling framework, focusing on querying and computation rather than the structural definitions of hierarchies.