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Authors: Matthias Volk ; Daniel Staegemann and Klaus Turowski

Affiliation: Magdeburg Research and Competence Cluster VLBA, Otto-von-Guericke University Magdeburg, Magdeburg, Germany

Keyword(s): Big Data, Definition, Data Characteristics, Overview.

Abstract: For many years now, the domain of big data has received lots of attention, as numerous studies, reports, and research articles reveal. Up to this date, a multitude of different definitions, guidelines, technologies, architectures, and best practices appeared that were supposed to provide clarity in the jungle of existing solutions. Instead, it led to further confusion regarding the general nature and the applicability of big data. To overcome those obstacles in detail, in the following, a thorough description of the term big data. To elucidate those obstacles, in the following, some of the most important aspects regarding the terminology as well as the essence of big data as a concept are discussed. Hereby, subsequent researchers as well as practitioners interested in the domain are provided with a strong base that further considerations and future projects can be built upon. This, in turn, hopefully helps to facilitate the progression of the domain as a whole as well as its further proliferation. (More)

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Paper citation in several formats:
Volk, M. ; Staegemann, D. and Turowski, K. (2022). Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 141-148. DOI: 10.5220/0011537500003335

@conference{kmis22,
author={Matthias Volk and Daniel Staegemann and Klaus Turowski},
title={Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS},
year={2022},
pages={141-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011537500003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS
TI - Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics
SN - 978-989-758-614-9
IS - 2184-3228
AU - Volk, M.
AU - Staegemann, D.
AU - Turowski, K.
PY - 2022
SP - 141
EP - 148
DO - 10.5220/0011537500003335
PB - SciTePress

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