TITLE:
Materialized Views Selection Problem in Decision Supporting Systems: Issues and Challenges
AUTHORS:
Mohamed Ridani, Mohamed Amnai
KEYWORDS:
Data Hypercube, OLAP, Data Warehouse, Materialized Views Selection
JOURNAL NAME:
Journal of Computer and Communications,
Vol.10 No.9,
September
23,
2022
ABSTRACT: The data warehouse is the most widely used database structure in many decision support systems around the world. This is the reason why a lot of research has been conducted in the literature over the last two decades on their design, refreshment and optimization. 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). However, the updating of these hypercubes is a very complicated process due mainly to the mass and complexity of the data presented. The purpose of this paper is to present the state of the art of works based on multidimensional modeling using the hypercube as a unit of presentation of data stores. It starts with the base of this process which is the choice of the views (cubes) forming our data warehouse base. The objective of this work is to describe the state of the art of research works dealing with the selection of materialized views in decision support systems.