Classifying Big Data Taxonomies: A Systematic Literature Review

Daniel Staegemann, Matthias Volk, Alexandra Grube, Johannes Hintsch, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski

Abstract

As big data is a rather young, but growing discipline, lots of confusion about the general nature of this term exists. Consequently, multiple research endeavours to discover unique characteristics, technologies, techniques and their interconnections were conducted, resulting in comprehensive classification approaches. For this purpose, various taxonomies on big data exist in literature. However, due to the multitude of approaches and partial contradictions, no real clarification is achieved. To overcome this issue, a systematic literature review was conducted, which identifies and analyses big data taxonomies. As a result, a classification of those taxonomies is proposed, which additionally tracks sub-domains that are not yet covered by the existing taxonomies so far. Eventually, the publication at hand serves as a starting point for further taxonomy related research endeavours in the big data domain.

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Paper Citation


in Harvard Style

Staegemann D., Volk M., Grube A., Hintsch J., Bosse S., Häusler R., Nahhas A., Pohl M. and Turowski K. (2020). Classifying Big Data Taxonomies: A Systematic Literature Review.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-426-8, pages 267-278. DOI: 10.5220/0009390102670278


in Bibtex Style

@conference{iotbds20,
author={Daniel Staegemann and Matthias Volk and Alexandra Grube and Johannes Hintsch and Sascha Bosse and Robert Häusler and Abdulrahman Nahhas and Matthias Pohl and Klaus Turowski},
title={Classifying Big Data Taxonomies: A Systematic Literature Review},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2020},
pages={267-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009390102670278},
isbn={978-989-758-426-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Classifying Big Data Taxonomies: A Systematic Literature Review
SN - 978-989-758-426-8
AU - Staegemann D.
AU - Volk M.
AU - Grube A.
AU - Hintsch J.
AU - Bosse S.
AU - Häusler R.
AU - Nahhas A.
AU - Pohl M.
AU - Turowski K.
PY - 2020
SP - 267
EP - 278
DO - 10.5220/0009390102670278