Abstract
A common taxonomy of data warehouse architectures comprises five basic approaches: Centralized, Independent Data Mart, Federated, Hub-and-Spoke and Data Mart Bus. However, for many real world cases, an applied data warehouse architecture can be their combination. In this paper we propose a Data Warehouse Architecture Reference Model (DWARM), which unifies known architectural styles and provides options for adaptation to fit particular purposes of a developed data warehouse system. The model comprises 11 layers grouping containers (data stores, sources and consumers), as well as processes, covering typical functional groups: ETL, data storage, data integration and delivery. Actual data warehouse architecture can be obtained by tailoring (removing unnecessary components) and instantiating (creating required layers and components of a given type).
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References
Alsqour, M., Matouk, K., Owoc, M.L.: A survey of data warehouse architectures - preliminary results. In: 2012 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1121–1126. IEEE (2012)
Ariyachandra, T., Watson, H.J.: Which data warehouse architecture is most successful? Business Intelligence Journal 11(1), 4 (2006)
Ariyachandra, T., Watson, H.J.: Key organizational factors in data warehouse architecture selection. Decision Support Systems 49(2), 200–212 (2010)
Connolly, T.M., Begg, C.E.: Database Systems: A Practical Approach to Design, Implementation, and Management. International computer science series. Addison-Wesley (2005), http://books.google.pl/books?id=jJbnDxiJ4joC
Dymek, D., Komnata, W., Kotulski, L., Szwed, P.: Data Warehouse Architectures. Reference model and formal architecture description. In: Polish: Architektury Hurtowni Danych. Model referencyjny i formalny opis architektury. AGH University of Science and Technology Press (2015)
Finlay, P.N.: Introducing decision support systems. NCC Blackwell (1994), http://books.google.pl/books?id=RhBPAAAAMAAJ
Golfarelli, M., Rizzi, S.: Data Warehouse Design: Modern Principles and Methodologies. Mcgraw-hill (2009), http://books.google.pl/books?id=VVRLa0dYmxoC
Inmon, W.H.: Building the Data Warehouse. Wiley (2005), http://books.google.pl/books?id=QFKTmh5IFS4C
Kimball, R., Margy, R.: The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. Wiley (2013), http://books.google.pl/books?id=WMEqTf2lK84C
Ponniah, P.: Data Warehousing Fundamentals. Wiley India Pvt. Limited (2006), http://books.google.pl/books?id=z4QjAw1YmxgC
Power, D.J.: A brief history of decision support systems (2007), http://dssresources.com/history/dsshistoryv28.html
Reeves, L.: A Manager’s Guide to Data Warehousing. Wiley (2009), http://books.google.pl/books?id=aCNxzTV0U3UC
Szmuc, T., Kotulski, L., Wojszczyk, B., Sedziwy, A.: Green AGH campus. In: SMARTGREENS 2012 - Proceedings of the 1st International Conference on Smart Grids and Green IT Systems, Porto, Portugal, April 19 - 20, pp. 159–162 (2012)
Szwed, P.: Belief propagation during data integration in a P2P network. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part I. LNCS (LNAI), vol. 8467, pp. 805–816. Springer, Heidelberg (2014), http://dx.doi.org/10.1007/978-3-319-07173-2_69
Turban, E.: Decision Support and Expert Systems: Management Support Systems. MacMillan Series in Information Systems. Macmillan (1990), http://books.google.pl/books?id=k2ZaAAAAYAAJ
Yourdon, E.: Modern Structured Analysis, 2nd edn. Prentice Hall PTR, Upper Saddle River (2000)
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Dymek, D., Komnata, W., Szwed, P. (2015). Proposal of a New Data Warehouse Architecture Reference Model. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_19
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DOI: https://doi.org/10.1007/978-3-319-18422-7_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18421-0
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