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Innovations in Computing Sciences and Software Engineering pp 627–632Cite as

Architecture Models and Data Flows in Local and Group Datawarehouses

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Abstract

Architecture models and possible data flows for local and group datawarehouses are presented, together with some data processing models. The architecture models consists of several layers and the data flow between them. The choosen architecture of a datawarehouse depends on the data type and volumes from the source data, and inflences the analysis, data mining and reports done upon the data from DWH.

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References

  1. Peter Baker, Marco Canessa – Warehouse Design: A Structured Approach – European Journal of Operational Research 193 (2009) 425-436

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  2. Rodica Maria Bogza – Strategic Intelligence with BI Competency Center - II International science conference “Knowledge Society”, Nessebar, Bulgaria, ISSN 1313-4787

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  4. Robert Reix – Systèmes d’information et management des organisations, Vuibert, Edition : 5e edition (2004), ISBN-10 : 2711775682, ISBN-13: 978-2711775682

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Author information

Authors and Affiliations

  1. Academy of Economic Studies of Bucharest, Bucharest, Romania

    R.M. Bogza & Dorin Zaharie

  2. Technical University “Gheorghe Asachi’ – Iasi, Iasi, Romania

    Silvia Avasilcai

  3. Technical University from Cluj – Napoca, Cluj – Napoca, Romania

    Laura Bacali

Authors
  1. R.M. Bogza
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  2. Dorin Zaharie
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  3. Silvia Avasilcai
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  4. Laura Bacali
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Corresponding author

Correspondence to R.M. Bogza .

Editor information

Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Tarek Sobh

  2. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Khaled Elleithy

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© 2010 Springer Science+Business Media B.V.

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Bogza, R., Zaharie, D., Avasilcai, S., Bacali, L. (2010). Architecture Models and Data Flows in Local and Group Datawarehouses. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_110

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  • DOI: https://doi.org/10.1007/978-90-481-9112-3_110

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9111-6

  • Online ISBN: 978-90-481-9112-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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