Data Connection and Preparation > Structuring Data Sets > Creating Multidimensional Data Structures
Creation of multidimensional data structures is a multidimensional model which a logical data organization as multidimensional data cubes. A cube is a multidimensional object with cells containing data (facts) and axes (dictionaries) determining dimensions (characteristics) of indicators stored in a cube.
The following development trends are selected for Foresight Analytics Platform provides the following multidimensional data structure types:
Cubes come in a variety of types:
Cube View. The cube based on the data of another cube but having smaller dimensions. The number of dimensions is reduced by fixing dimensions.
Virtual Cube. The cube is created using the other cube data. A cube fact dimension is created on the selected elements of fixed dimensions. When viewing virtual cube data in an express report, the dimensions panel shows non-fixed common dimensions of source cubes and the dimension of virtual cube facts.
Calculated Cube. This cube enables the user to calculate the values of facts using the values of other cube facts and defined formulas.
Automatic Cube. The cube is created using the top-down approach. It is enough to specify the list of dimensions to create this cube.
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