Quality Assurance in Big Data Engineering - A Metareview

With a continuously increasing amount and complexity of data being produced and captured, traditional ways of dealing with their storing, processing, analysis and presentation are no longer sufficient, which has led to the emergence of the concept of big data. However, not only the implementation of...

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Autores principales:	Daniel Staegemann, Matthias Volk, Klaus Turowski
Formato:	article
Lenguaje:	EN
Publicado:	Riga Technical University 2021
Materias:	big data quality assurance benchmark testing literature review metareview Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/5f89c0c8a2da495291393865ef7c459c
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spelling	oai:doaj.org-article:5f89c0c8a2da495291393865ef7c459c2021-11-05T12:04:36ZQuality Assurance in Big Data Engineering - A Metareview2255-992210.7250/csimq.2021-28.01https://doaj.org/article/5f89c0c8a2da495291393865ef7c459c2021-10-01T00:00:00Zhttps://csimq-journals.rtu.lv/article/view/5221https://doaj.org/toc/2255-9922With a continuously increasing amount and complexity of data being produced and captured, traditional ways of dealing with their storing, processing, analysis and presentation are no longer sufficient, which has led to the emergence of the concept of big data. However, not only the implementation of the corresponding applications is a challenging task, but also the proper quality assurance. To facilitate the latter, in this publication, a comprehensive structured literature metareview on the topic of big data quality assurance is presented. The results will provide interested researchers and practitioners with a solid foundation for their own quality assurance related endeavors and therefore help in advancing the cause of quality assurance in big data as well as the domain of big data in general. Furthermore, based on the findings of the review, worthwhile directions for future research were identified, providing prospective authors with some guidance in this complex environment.Daniel StaegemannMatthias VolkKlaus TurowskiRiga Technical Universityarticlebig dataquality assurancebenchmarktestingliterature reviewmetareviewInformation technologyT58.5-58.64ENComplex Systems Informatics and Modeling Quarterly, Vol 0, Iss 28, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	big data quality assurance benchmark testing literature review metareview Information technology T58.5-58.64
spellingShingle	big data quality assurance benchmark testing literature review metareview Information technology T58.5-58.64 Daniel Staegemann Matthias Volk Klaus Turowski Quality Assurance in Big Data Engineering - A Metareview
description	With a continuously increasing amount and complexity of data being produced and captured, traditional ways of dealing with their storing, processing, analysis and presentation are no longer sufficient, which has led to the emergence of the concept of big data. However, not only the implementation of the corresponding applications is a challenging task, but also the proper quality assurance. To facilitate the latter, in this publication, a comprehensive structured literature metareview on the topic of big data quality assurance is presented. The results will provide interested researchers and practitioners with a solid foundation for their own quality assurance related endeavors and therefore help in advancing the cause of quality assurance in big data as well as the domain of big data in general. Furthermore, based on the findings of the review, worthwhile directions for future research were identified, providing prospective authors with some guidance in this complex environment.
format	article
author	Daniel Staegemann Matthias Volk Klaus Turowski
author_facet	Daniel Staegemann Matthias Volk Klaus Turowski
author_sort	Daniel Staegemann
title	Quality Assurance in Big Data Engineering - A Metareview
title_short	Quality Assurance in Big Data Engineering - A Metareview
title_full	Quality Assurance in Big Data Engineering - A Metareview
title_fullStr	Quality Assurance in Big Data Engineering - A Metareview
title_full_unstemmed	Quality Assurance in Big Data Engineering - A Metareview
title_sort	quality assurance in big data engineering - a metareview
publisher	Riga Technical University
publishDate	2021
url	https://doaj.org/article/5f89c0c8a2da495291393865ef7c459c
work_keys_str_mv	AT danielstaegemann qualityassuranceinbigdataengineeringametareview AT matthiasvolk qualityassuranceinbigdataengineeringametareview AT klausturowski qualityassuranceinbigdataengineeringametareview
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Quality Assurance in Big Data Engineering - A Metareview

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