Authors:
Vitor Afonso Pinto
1
and
Fernando Silva Parreiras
2
Affiliations:
1
Technology Department, Operational Technology for Mine, Plant and Expedition, Vale Mozambique, Tete, Mozambique
;
2
Laboratory for Advanced Information Systems, FUMEC University, Rua do Cobre, Belo Horizonte, Brazil
Keyword(s):
Big Data, Taxonomy, Mapping Study, Cross-case Analysis.
Abstract:
Data is constantly created, and at an ever-increasing rate. Intending to be more and more data-driven, companies are struggling to adopt Big Data technologies. Nevertheless, choosing an appropriate technology to deal with specific business requirements becomes a complex task, specially because it involves different kinds of specialists. Additionally, the term Big Data is vague and ill defined. This lack of concepts and standards creates a fuzzy environment where companies do not know what exactly they need to do and on the other hand consultants do not know how to help them to achieve their goals. In this study the following research question was addressed: Which essential components characterize Big Data ecosystem? To answer this question, Big Data terms and concepts were first identified. Next, all terms and concepts were related and grouped creating a hierarchical taxonomy. Thus, this artifact was validated through a classification of tools available in the market. This work contr
ibutes to clarification of terminologies related to Big Data, facilitating its dissemination and usage across research fields. The results of this study can contribute to reduce time and costs for Big Data adoption in different industries as it helps to establish a common ground for the parts involved.
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