Subject: data warehouses, OLAP, multidimensional data model, data cube
Year: 2002
Type: Proceedings
Title: Multidimensional Data Model for Data Warehouses
Author: Velinov, Goran
Author: Kon-Popovska, Margita
Abstract: Data Warehouses (DW) and Online Analytical Processing (OLAP) are essential elements of Decision Support Systems (DSS), they enable business decision makers to creatively approach, analyze and understand business problems. OLAP data is frequently organized in the form of multidimensional data cubes each of which is used to examine a set of data values, called facts. Each fact is combination of multiple dimensions with multiple levels per dimension. The goal of this paper is the introduction of a multidimensional data model. The model is able to represent and capture natural hierarchical relationships among members (attributes) within a dimension. Moreover the data model is able to represent the relationships between dimension members and facts by mean of cube cells.
Publisher: Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Macedonia
Relation: Third International Conference on Informatics and Information Technology
Identifier: oai:repository.ukim.mk:20.500.12188/23304
Identifier: http://hdl.handle.net/20.500.12188/23304
