Using Multidimensional Canonical Partitioning (MCP) as a Supply-Driven Approach for Data Warehouses Design

Authors

  • Apollinaire Bamana Batoure The University of Ngaoundéré. Department of Mathematics and Computer Science, Po Box 454, Ngaoundéré, Cameroon
  • Kolyang Kolyang The University of Maroua, Department of Computer Science, Po Box 46, Maroua, Cameroon
  • Michel Tchotsoua The University of Ngaoundéré, Departement of Geography, Po Box 454, Ngaoundéré, Cameroon

Keywords:

Data warehouse design approach, multidimensional data schema, relational database, universal relation, vertical partitioning.

Abstract

Various information systems have been developed for decision support. But, they rely essentially on transactional methods. From data and transactional databases, we proposed a supply-driven approach to design data warehouses. The approach takes as input, a universal relation, applies vertical partitioning by a greedy type heuristic algorithm. Partitions obtained are transformed into dimensions using a matching algorithm. The other elements of the multidimensional annotation are deduced by guidelines, and the data warehouse schema is generated using a multidimensional conceptual pattern. The transformation of those transactional systems into decision support ones aims at facilitating the storage, exploitation and the representation of data using new databases generation technologies.

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Published

2017-04-21

How to Cite

Batoure, A. B., Kolyang, K., & Tchotsoua, M. (2017). Using Multidimensional Canonical Partitioning (MCP) as a Supply-Driven Approach for Data Warehouses Design. International Journal of Computer (IJC), 25(1), 52–62. Retrieved from https://www.ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/890

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