Modeling and Management Big Data in Databases—A Systematic Literature Review
1
Department of Informatics and Computer Science, Escuela Politécnica Nacional, 170525 Quito, Ecuador
2
Department of Software and Computing Systems, University of Alicante, 03690 Alicante, Spain
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(2), 634; https://doi.org/10.3390/su12020634
Received: 25 November 2019 / Revised: 7 January 2020 / Accepted: 9 January 2020 / Published: 15 January 2020
(This article belongs to the Special Issue Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems)
The work presented in this paper is motivated by the acknowledgement that a complete and updated systematic literature review (SLR) that consolidates all the research efforts for Big Data modeling and management is missing. This study answers three research questions. The first question is how the number of published papers about Big Data modeling and management has evolved over time. The second question is whether the research is focused on semi-structured and/or unstructured data and what techniques are applied. Finally, the third question determines what trends and gaps exist according to three key concepts: the data source, the modeling and the database. As result, 36 studies, collected from the most important scientific digital libraries and covering the period between 2010 and 2019, were deemed relevant. Moreover, we present a complete bibliometric analysis in order to provide detailed information about the authors and the publication data in a single document. This SLR reveal very interesting facts. For instance, Entity Relationship and document-oriented are the most researched models at the conceptual and logical abstraction level respectively and MongoDB is the most frequent implementation at the physical. Furthermore, 2.78% studies have proposed approaches oriented to hybrid databases with a real case for structured, semi-structured and unstructured data.
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Keywords:
big data; management; modeling; literature review
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MDPI and ACS Style
Martinez-Mosquera, D.; Navarrete, R.; Lujan-Mora, S. Modeling and Management Big Data in Databases—A Systematic Literature Review. Sustainability 2020, 12, 634.
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