A multi-dimensional structure called the data cube. it is a data abstraction that allows one to view aggregated data from a number of perspectives. Conceptually, the cube consists of a core or base cuboid, surrounded by a collection of sub-cubes/cuboids that represent the aggregation of the base cuboid along one or more dimensions. We refer to the dimension to be aggregated as the measure attribute, while the remaining dimensions are known as the feature attributes.
A multi-dimensional structure called the data cube. In short described as a data abstraction that allows one to view aggregated data from a number of perspectives. Conceptually, the cube consists of a core or base cuboid, surrounded by a collection of sub-cubes/cuboids that represent the aggregation of the base cuboid along one or more dimensions. Refered to the dimension to be aggregated as the measure attribute, while the remaining dimensions are known as the feature attributes.
Data can be viewed on a cube in multidimesional manner where we can see aggregated and summarized facts of variables/attributes .Thes is where olap comes into play.
