How is data structured within a Cube?

Data within a Cube is structured using references for rows and columns in tables. This method allows for multidimensional data organization, which is essential for performing complex calculations and analyses across various dimensions. Each intersection of the rows and columns represents a unique data point, allowing users to efficiently access and aggregate measures based on different dimensional attributes such as time, geography, product categories, and more.

This structured approach enables Cube to facilitate faster querying and reporting, as it optimizes data storage and retrieval by leveraging the relationships and hierarchies among the dimensions. By using references, the Cube can handle large volumes of data more effectively and provide users with the ability to drill down into the data for detailed insights.

Other options, while they may represent data organization in different contexts, do not reflect the multidimensional and reference-driven nature of data organization within a Cube specifically.