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Approaches and issues in view selection for materialising in data warehouse: International Journal of Business Information Systems: Vol 21, No 1
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Home > International Journal of Business Information Systems > List of Issues > Volume 21, Issue 1 > DOI: 10.1504/IJBIS.2016.073379
Approaches and issues in view selection for materialising in data warehouse Rajib Goswami Abstract
, Dhruba Kr Bhattacharyya
, Malayananda Dutta
International Journal of Business Information Systems
, Jugal K. Kalita
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Abstract To facilitate efficient query processing in data warehouses and develop online analytical processing (OLAP) for decision support systems, intermediate data derived in the middle of complex processing may be stored as a set of materialised views. It is not possible to save each and every intermediate query result due to limitation of space and updating cost. Therefore, an optimum set of views need to be selected for materialisation and, this requires a good optimisation technique. Many approaches have been presented in the literature to achieve good solutions to this problem. In this paper, we attempt to provide a comprehensive survey of the approaches and algorithms introduced to address the issue. We also attempt to identify the key issues and research challenges in this area.
Print ISSN: 17460972 Online ISSN: 1746 0980 Current issue List of issues
Keywords: data warehousing, view selection, materialised views, query response cost, materialised view maintenance, online analytical processing, OLAP, HRU algorithm, randomised algorithm, ANDOR view graph, optimal query plan, query processing, decision support systems, DSS
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Related Content Search By Keyword data warehousing view selection materialised views query response cost materialised view maintenance online analytical processing OLAP HRU algorithm randomised algorithm ANDOR view graph optimal query plan
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query processing decision support systems DSS By Author Rajib Goswami Dhruba Kr Bhattacharyya Malayananda Dutta Jugal K. Kalita
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1/6/2016
Approaches and issues in view selection for materialising in data warehouse: International Journal of Business Information Systems: Vol 21, No 1 Search
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