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A general perspective of Big Data: applications, tools, challenges and trends

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Abstract

Big Data has become a very popular term. It refers to the enormous amount of structured, semi-structured and unstructured data that are exponentially generated by high-performance applications in many domains: biochemistry, genetics, molecular biology, physics, astronomy, business, to mention a few. Since the literature of Big Data has increased significantly in recent years, it becomes necessary to develop an overview of the state-of-the-art in Big Data. This paper aims to provide a comprehensive review of Big Data literature of the last 4 years, to identify the main challenges, areas of application, tools and emergent trends of Big Data. To meet this objective, we have analyzed and classified 457 papers concerning Big Data. This review gives relevant information to practitioners and researchers about the main trends in research and application of Big Data in different technical domains, as well as a reference overview of Big Data tools.

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Acknowledgments

The authors are very grateful to National Technological of Mexico for supporting this work. Also, this research paper was sponsored by the National Council of Science and Technology (CONACYT), as well as by the Public Education Secretary (SEP) through PRODEP.

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Correspondence to Giner Alor-Hernández.

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Rodríguez-Mazahua, L., Rodríguez-Enríquez, C., Sánchez-Cervantes, J.L. et al. A general perspective of Big Data: applications, tools, challenges and trends. J Supercomput 72, 3073–3113 (2016). https://doi.org/10.1007/s11227-015-1501-1

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Keywords

  • Application domains
  • Classification
  • Big Data
  • Literature review