In the logical multidimensional model, a cube represents all measures with the same shape, that is the exact same dimensions. In a cube shape each edge represents a dimension. The dimension members are aligned on the edges and divide the cube shape into cells in which data values are stored.
In an analytic workspace, the cube shape also represents the physical storage of multidimensional measures, in contrast with two-dimensional relational tables. An advantage of the cube shape is that it can be rotated: there is no one right way to manipulate or view the data.
In an analytic workspace, the cube shape also represents the physical storage of multidimensional measures, in contrast with two-dimensional relational tables. An advantage of the cube shape is that it can be rotated: there is no one right way to manipulate or view the data.
Click Here for Data Warehousing and Data Mining Main Page
0 comments:
Post a comment