A distributed multidimensional data model of data warehouse

Authors:
Youfang Lin;Houkuan Huang;Hongsong Li
Affiliations:
School of Computer Science and Information Technology, Northern Jiaotong Unversity, Beijing, China;School of Computer Science and Information Technology, Northern Jiaotong Unversity, Beijing, China;School of Computer Science and Information Technology, Northern Jiaotong Unversity, Beijing, China
Venue:
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Year:
2003

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Abstract

The base fact tables of a data warehouse are generally of huge size. In order to shorten query response time and to improve maintenance performance, a base fact table is generally partitioned into multiple instances of same schema. To facilitate multidimensional data analysis, common methods are to create different multidimensional data models (MDDM) for different instances which may make it difficult to realize transparent multi-instance queries and maintenance. To resolve the problems, this paper proposes a logically integrated and physically distributed multidimensional data model.