The Journal of Supercomputing

, Volume 72, Issue 8, pp 3073–3113 | Cite as

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

  • Lisbeth Rodríguez-Mazahua
  • Cristian-Aarón Rodríguez-Enríquez
  • José Luis Sánchez-Cervantes
  • Jair Cervantes
  • Jorge Luis García-Alcaraz
  • Giner Alor-HernándezEmail author


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.


Application domains Classification Big Data Literature review 



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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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Lisbeth Rodríguez-Mazahua
    • 1
  • Cristian-Aarón Rodríguez-Enríquez
    • 1
  • José Luis Sánchez-Cervantes
    • 1
  • Jair Cervantes
    • 2
  • Jorge Luis García-Alcaraz
    • 3
  • Giner Alor-Hernández
    • 1
    Email author
  1. 1.Division of Research and Postgraduate StudiesInstituto Tecnológico de OrizabaOrizabaMexico
  2. 2.Centro Universitario UAEM TexcocoUniversidad Autónoma del Estado de MéxicoTexcocoMexico
  3. 3.Departamento de Ingeniera Industrial y Manufactura, Instituto de Ingeniería y TecnologíaUniversidad Autónoma de Ciudad JuárezCiudad JuárezMexico

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