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Features of SQL Databases for Multi-tenant Applications Based on Oracle DBMS

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Book cover Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery (BDAS 2015, BDAS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 613))

Abstract

The paper presents several architectural aspects of data layer for developing of multi-tenant applications. Multi-tenancy is a term describing the application model of services delivering in which a single or many instances of a software run on a server and serves multiple tenants. This feature has an impact on several nonfunctional aspects of system such as security, availability, backup, recovery and more. This article clarifies the specificity of these aspects in approach to multi-tenant applications building and points how different data layer architecures address them. On an example of Oracle database serveral build-in features and concepts that could be helpful to increase the quality of mensioned non-functional aspects were discussed.

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Acknowledgements

This work was supported by NCBiR of Poland (No INNOTECH-K3/IN3/46/ 229379/NCBR/14).

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Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, 16 Akademicka Street, 44-100, Gliwice, Poland

    Lukasz Wycislik

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  1. Lukasz Wycislik
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Correspondence to Lukasz Wycislik .

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Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Wycislik, L. (2016). Features of SQL Databases for Multi-tenant Applications Based on Oracle DBMS. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery. BDAS BDAS 2015 2016. Communications in Computer and Information Science, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-34099-9_39

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  • DOI: https://doi.org/10.1007/978-3-319-34099-9_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-34098-2

  • Online ISBN: 978-3-319-34099-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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