A survey of data warehouse architectures — Preliminary results

Moh’d Alsqour · Kamal Matouk · Mieczyslaw Lech Owoc

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Big Data and Business Intelligence Information Technology Governance and Strategy Knowledge Management and Technology

Abstract

In this abridged version, which is a summary of the authors' study, we present some of our findings for consideration. The principal objective of the study was to investigate empirically the architectures of data warehouse (DW), or more specifically, the types of the architectures and a number of factors, which are believed to influence their selection, were explored. A questionnaire survey, which targeted the information systems managers, was used to collect data from 150 Polish companies about the respondents' firms, the architecture they use, and the factors which influence the selection of the architecture. The findings of the study give us practical insights into DW's field in Poland.

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References

2008Building a Data Warehouse 1996The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling 2006Decision Support and Business Intelligence Systems 2006Decision Support and Business Intelligence Systems (8th Edition)2010Key organizational factors in data warehouse architecture selection 2007Dimensional issues in agricultural data warehouse designs 2005The impact of alternative diagrams on the accuracy of recall: A comparison of star-schema diagrams and entity-relationship diagrams

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2018Development of a University Financial Data Warehouse and its Visualization Tool 2016Application of Data Warehouse in Real Life: State-of-the-art Survey from User Preferences’ Perspective 2017Data warehouse architecture classification 2019Analysis of Data Warehouse Architectures: Modeling and Classification

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