Optimization challenge in decision supporting systems: An overview

The manipulation of hypercubes (cubes) of data is a frequently used operation in the design of multidimensional data warehouses, due to their better adaptation to OLAP (On-Line Analytical Processing) process. However, the update of these hypercubes is a very complicated process due mainly to the mass and the complexity of the data presented. The aims of this work are to describe in first case the state of the art of the research works dealing with optimization of enabled views to be materialized which formed the cubes named in the literature as materialized view selection problem. In the second case we described the various approaches dealing with updating process of data cube in decision support systems.