On the use of ISO/IEC standards to address data quality aspects in big data analytics cloud services

Jonathan Roy; Hebatalla Terfas; Witold Suryn

doi:10.1007/978-3-319-59336-4_11

On the use of ISO/IEC standards to address data quality aspects in big data analytics cloud services

Jonathan Roy
, Hebatalla Terfas
, Witold Suryn

École de technologie supérieure

École de technologie supérieure

Résultats de recherche: Chapitre dans un livre, rapport, actes de conférence › Participation à un ouvrage collectif lié à un colloque ou une conférence › Revue par des pairs

1 Citation (Scopus)

Résumé

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.

langue originale	Anglais
titre	Business Information Systems - 20th International Conference, BIS 2017, Proceedings
rédacteurs en chef	Witold Abramowicz
Editeur	Springer Verlag
Pages	149-164
Nombre de pages	16
ISBN (imprimé)	9783319593357
Les DOIs	https://doi.org/10.1007/978-3-319-59336-4_11
état	Publié - 2017
Evénement	20th International Conference on Business Information Systems, BIS 2017 - Poznan, Pologne Durée: 28 juin 2017 → 30 juin 2017

Série de publications

Nom	Lecture Notes in Business Information Processing
Volume	288
ISSN (imprimé)	1865-1348

Conférence

Conférence	20th International Conference on Business Information Systems, BIS 2017
Pays/Territoire	Pologne
La ville	Poznan
période	28/06/17 → 30/06/17

Accès au document

10.1007/978-3-319-59336-4_11

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Contient cette citation

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. Dans W. Abramowicz (Ed.), Business Information Systems - 20th International Conference, BIS 2017, Proceedings (p. 149-164). (Lecture Notes in Business Information Processing; Vol 288). Springer Verlag. https://doi.org/10.1007/978-3-319-59336-4_11

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title = "On the use of ISO/IEC standards to address data quality aspects in big data analytics cloud services",

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.",

keywords = "Big data, Cloud computing, Data quality, Quality models, SLA",

author = "Jonathan Roy and Hebatalla Terfas and Witold Suryn",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 20th International Conference on Business Information Systems, BIS 2017 ; Conference date: 28-06-2017 Through 30-06-2017",

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doi = "10.1007/978-3-319-59336-4\_11",

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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. Dans W Abramowicz (Ed.), Business Information Systems - 20th International Conference, BIS 2017, Proceedings. Lecture Notes in Business Information Processing, VOL. 288, Springer Verlag, p. 149-164, 20th International Conference on Business Information Systems, BIS 2017, Poznan, Pologne, 28/06/17. https://doi.org/10.1007/978-3-319-59336-4_11

On the use of ISO/IEC standards to address data quality aspects in big data analytics cloud services. / Roy, Jonathan; Terfas, Hebatalla; Suryn, Witold.
Business Information Systems - 20th International Conference, BIS 2017, Proceedings. Ed. / Witold Abramowicz. Springer Verlag, 2017. p. 149-164 (Lecture Notes in Business Information Processing; Vol 288).

Résultats de recherche: Chapitre dans un livre, rapport, actes de conférence › Participation à un ouvrage collectif lié à un colloque ou une conférence › Revue par des pairs

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N2 - 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.

AB - 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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KW - Cloud computing

KW - Data quality

KW - Quality models

KW - SLA

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