An upper-level CompositeProvider compares current values with historic values based on a union operation.

[: In SAP BW/4HANA, DataStore objects (advanced) are optimized for high-performance data storage and retrieval. They provide faster access compared to CompositeProviders, especially when dealing with static or semi-static data like historic values., , 2. Use a join node instead of the Union node in the upper-level CompositeProvider (Option B)Explanation: Replacing a Union node with a Join node is not always feasible, as these operations serve different purposes. A Union combines data from multiple sources into a single dataset, while a Join merges data based on matching keys. If the data model requires a Union operation, replacing it with a Join would fundamentally alter the query logic and produce incorrect results., Reference: The choice between Union and Join depends on the business requirements and data relationships. Performance improvements should focus on optimizing the existing Union operation rather than replacing it with an incompatible operation., , 3. Replace the DataStore object (advanced) for current data with an Open ODS view that accesses the current data directly from the source system (Option C)Explanation: Accessing current data directly from the source system via an Open ODS view can introduce latency and increase the load on the source system. Additionally, this approach bypasses the benefits of staging data in a DataStore object (advanced), such as data cleansing and transformation. For optimal performance, it is better to retain the DataStore object for current data., Reference: SAP BW/4HANA emphasizes the use of DataStore objects (advanced) for staging and processing data before it is consumed by queries. This ensures consistent performance and reduces dependency on external systems., , 4. Use the "Generate Dataflow" feature for the Open ODS views and load the historic data to the newly generated DataStore objects (advanced) (Option D)Explanation: The "Generate Dataflow" feature automates the process of creating dataflows for Open ODS views. By loading historic data into newly generated DataStore objects (advanced), you consolidate the data into a single, optimized storage layer. This eliminates the need for complex unions and improves query performance., Reference: SAP BW/4HANA provides tools like "Generate Dataflow" to streamline data modeling and integration. Using DataStore objects (advanced) for historic data ensures efficient storage and retrieval., , ConclusionThe correct answers areA (Replace the lower-level CompositeProvider with a new DataStore object (advanced) and fill it with the same combination of historic data)andD (Use the "Generate Dataflow" feature for the Open ODS views and load the historic data to the newly generated DataStore objects (advanced)). These approaches simplify the data model, reduce query complexity, and improve overall performance., , , , ]