Application Of Multidimensional Databases Of Psychological Study Based On Olap-Based Model
Over the past decade, the Multidimensional Data Paradigm incorporated the study of large data sets to support decision-making. Users typically interpret data as multidimensional cubes of data. This research model analysis can be used successfully to examine very comprehensive and thorough psychological data sets. The technique used for the simulation of proportions was used in this research to evaluate OLAP psychological findings. This paper explores some issues in developing multi-dimensional (psychological) applications using the OLAP method. This thesis focuses in particular on the lack of high-dimensional data cubs that can solve those problems by many modifications to the traditional multi-dimensional data model. It also makes more customizable frameworks not only for the OLAP programme creator, but also for end users.