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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/292

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Title: An experimental consideration of the use of the transrelational model for data warehousing
Authors: Gonzalez-Castro, Victor
MacKinnon, Lachlan M.
Marwick, David H.
Affiliation: University of Abertay Dundee. School of Contemporary Sciences
Keywords: Data warehousing
Issue Date: 2006
Publisher: Springer Verlag
Type: Conference Paper
Refereed: peer-reviewed
Rights: Published version (c)Springer Verlag, available from DOI: 10.1007/11788911_4. The original publication is available at www.springerlink.com
Citation: Gonzalez-Castro, V., MacKinnon, L. M. and Marwick, D. H. 2006. An experimental consideration of the use of the transrelational model for data warehousing. In: Flexible and Efficient Information Handling. 4042: pp.47-58 [Online] Available from: DOI: 10.1007/11788911_4
Abstract: In recent years there has been a growing interest in the research community in the utilisation of alternative data models that abandon the relational record storage and manipulation structure. The authors have already reported experimental considerations of the behavior of Relational, Binary Relational and Associative models within the context of Data Warehousing, to address issues of storage efficiency and combinatorial explosion through data repetition. In this paper we present an implementation of the TransrelationalTM model, based on the public domain definition provided by C.J. Date, which we believe to be the first reported instantiation of the model. Following the presentation of the implementation, we also present the results of performance tests utilising a set of metrics for Data Warehouse environments, which are compared against a traditional N-ary Relational implementation. The experiment is based on the standard and widely-accepted TPC-H data set. The Transrelational model is based on the Tarin Transform Method and is the intellectual property of Required Technologies Inc.
URI: http://hdl.handle.net/10373/292
ISBN: 9783540359692
ISSN: 1611-3349
Appears in Collections:Science Engineering & Technology Collection

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