Which layer is responsible for providing transformed, derived, and summarized data?

The Integration Layer is responsible for providing transformed, derived, and summarized data in a data warehouse architecture. This layer acts as the intermediary stage where raw data from various sources is integrated and processed. It includes steps such as data cleaning, transformation, and aggregation, allowing the data to be refined into a more usable form.

By processing the data in this manner, the Integration Layer ensures that the data is accurate, consistent, and ready for further analysis. This processed data can then be utilized by the Presentation Layer to create reports or visualizations, which are critical for decision-making and insights.

The Access Layer, on the other hand, is primarily focused on the mechanisms used to retrieve data, while the Storage Layer is responsible for the physical storage of the data. The Presentation Layer focuses on how data is displayed to users and does not perform the transformations or derivations itself. Thus, the Integration Layer plays a crucial role in preparing the data before it reaches the end-users in a consumable format.