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On the Use of ISO/IEC Standards to Address Data Quality Aspects in Big Data Analytics Cloud Services

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Business Information Systems (BIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 288))

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Abstract

With data volumes constantly growing, cloud computing provides a model for Big Data Analytics where solutions can benefit from rapid elasticity and scalability. This model changes the level of control that cloud service customers have on their data. Understanding how data is handled by cloud service providers is therefore critical in achieving data quality objectives. This paper presents an analysis on the applicability of ISO/IEC standards to Big Data Analytics cloud services, focusing on data quality. Based on results, we provide observations, identify challenges, and offer recommendations on the application of standards and future development.

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Notes

  1. 1.

    http://hadoop.apache.org.

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Authors and Affiliations

  1. École de technologie supérieure, Montreal, QC, Canada

    Jonathan Roy, Hebatalla Terfas & Witold Suryn

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  1. Jonathan Roy
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  2. Hebatalla Terfas
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  3. Witold Suryn
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Correspondence to Jonathan Roy .

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Editors and Affiliations

  1. Poznan University of Economics, Poznan, Poland

    Witold Abramowicz

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Roy, J., Terfas, H., Suryn, W. (2017). On the Use of ISO/IEC Standards to Address Data Quality Aspects in Big Data Analytics Cloud Services. In: Abramowicz, W. (eds) Business Information Systems. BIS 2017. Lecture Notes in Business Information Processing, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-319-59336-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-59336-4_11

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-59336-4

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