Big Data Analytics in IOT: Challenges, Open Research Issues and Tools

  • Fabián Constante Nicolalde
  • Fernando Silva
  • Boris Herrera
  • António Pereira
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

Terabytes of data are generated day-to-day from modern information systems, cloud computing and digital technologies, as the increasing number of Internet connected devices grows. However, the analysis of these massive data requires many efforts at multiple levels for knowledge extraction and decision making. Therefore, Big Data Analytics is a current area of research and development that has become increasingly important. This article investigates cutting-edge research efforts aimed at analyzing Internet of Things (IoT) data. The basic objective of this article is to explore the potential impact of large data challenges, research efforts directed towards the analysis of IoT data and various tools associated with its analysis. As a result, this article suggests the use of platforms to explore big data in numerous stages and better understand the knowledge we can draw from the data, which opens a new horizon for researchers to develop solutions based on open research challenges and topics.

Keywords

Big Data Analytics Internet of Things Hadoop Massive data Structured data Unstructured data 

Notes

Acknowledgments

This work was possible thanks to Senescyt of Ecuador for the financing of research studies at the Polytechnic Institute of Leiria, Portugal and to the FCT project UID/CEC/4524/2016.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Fabián Constante Nicolalde
    • 1
    • 2
  • Fernando Silva
    • 1
  • Boris Herrera
    • 2
  • António Pereira
    • 1
    • 3
  1. 1.School of Technology and Management, Computer Science and Communications Research CentrePolytechnic Institute of LeiriaLeiriaPortugal
  2. 2.Universidad Central del EcuadorQuitoEcuador
  3. 3.Information and Communications Technologies UnitINOV INESC Innovation-Delegation Office at LeiriaLeiriaPortugal

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