What kind of datamart is used for hierarchical processing in Avaloq?

The correct choice focuses on the type of datamart used for hierarchical processing in Avaloq. A Flat Datamart is specifically designed to accommodate data in a structure that is easy to manipulate while maintaining a hierarchy. This is particularly beneficial for scenarios where data needs to be aggregated or broken down into various levels for analysis or reporting. Flat structures allow for straightforward queries and efficient data retrieval, which is essential for hierarchical data processing.

The other types of datamarts have different functionalities. Temporary Datamarts, for instance, are often used for transient data that does not need to be stored long-term, making them unsuitable for hierarchical processing that requires structured, longstanding data organization. Pillar DDIC and Memory DDIC refer to specific data dictionary configurations utilized in different contexts within Avaloq, rather than serving the purpose of hierarchical data structuring as exemplified by the Flat Datamart. These configurations may aid in particular programming or data handling tasks but do not primarily facilitate hierarchical processing as effectively as a Flat Datamart does.