Indexation techniques in decision support systems: Study and Evaluation

The query optimization process is the big challenge of most of decision support systems around the world, such systems based on data warehouse structure to store all data to be analyzed. Moreover, the volume and variety of data on the data warehouse are very important which involves more effort and investment to minimize the cost of refreshment and data update. Our aim in this paper is to describe the state of the art of research works dealing with the optimization approaches in big data environments especially, the techniques based on indexes selection problems. We will explain the principle of each technique and its particularities approved by our experimental data. In addition, we’ll conclude by the comparison of all these approaches developed in the literature.