MR Cube-One of the Efficient Method among Various Cube Computation Methods

Data cube computation is an essential task in data warehouse implementation. Data cube analysis is important tool for analyzing multidimensional data. The precomputation of all or part of a data cube can greatly reduce the response time and enhance the performance of on-line analytical processing. However, such computation is challenging since it may require substantial computational time and storage space. We introduce general concepts and computation strategies relating to cube materialization. So, here we explore the various methods for data cube computation, several strategies of cube materialization and also specific algorithms for computations such as BUC, Star Cubing, Multi way array aggregation, the computation of shell fragments and parallel algorithms. But these techniques have limitation so we introduce MapReduced based MR Cube approach. It is one of the efficient method among various cube computation methods.