New Strategy for Developing and Enhancing Online Analytical Processing Cubes on Graphs
Redouane Labzioui, Khadija Letrache, Mohammed Ramdani · 2023
The growth of data had a profound impact on contemporary databases, leading to the emergence of a variety of No Sql (Not Only SQL) databases, containing those designed for graph data. To seamlessly incorporate graph data into existing decision support systems, there is a need to develop new Data Warehouse (DW) models that harness the advantages of graphs. This study introduces an innovative approach for creating a DW using a graph database. Furthermore, the research suggests employing aggregation algorithms to enhance the effectiveness of data analysis within a DW built upon a graph-oriented framework, addressing the challenge of building optimized OLAP (Online Analytical Processing) models within graph structures and emphasizing the selection of pertinent aggregations to effectively meet the diverse requirements of users.