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Introduction to Big Data and Data Science: Methods and Applications

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Advances in Data Science: Methodologies and Applications

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 189))

Abstract

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. In this chapter we discuss big data and data science to establish a context for the state-of-the-art technologies and applications in this book. In addition, to provide a starting point for new researchers, we present an overview of big data management and analytics methods. Finally, we suggest opportunities for future research.

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Acknowledgements

The research leading to these results has received funding from the EU H2020 research and innovation program under grant agreement N. 769872 (EMPATHIC) and N. 823907 (MENHIR), the project SIROBOTICS that received funding from Italian MIUR, PNR 2015-2020, D. D. 1735, 13/07/2017, and the project ANDROIDS funded by the program V: ALERE 2019 Università della Campania “Luigi Vanvitelli”, D. R. 906 del 4/10/2019, prot. n. 157264, 17/10/2019.

Author information

Authors and Affiliations

  1. Sellinger School of Business and Management, Department of Information Systems, Law and Operations Management, Loyola University Maryland, 4501 N. Charles Street, Baltimore, MD, USA

    Gloria Phillips-Wren

  2. Department of Psychology, Università degli Studi della Campania “Luigi Vanvitelli”, and IIASS, Caserta, Italy

    Anna Esposito

  3. University of Technology, Sydney, Australia

    Lakhmi C. Jain

  4. Liverpool Hope University, Liverpool, UK

    Lakhmi C. Jain

  5. KES International, Selby, UK

    Lakhmi C. Jain

Authors
  1. Gloria Phillips-Wren
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  2. Anna Esposito
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  3. Lakhmi C. Jain
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Corresponding author

Correspondence to Gloria Phillips-Wren .

Editor information

Editors and Affiliations

  1. Loyola University Maryland, Baltimore, MD, USA

    Gloria Phillips-Wren

  2. Dipartimento di Psicologia, Università della Campania “Luigi Vanvitelli”, Caserta, Italy

    Anna Esposito

  3. Centre for Artificial Intelligence, University of Technology Sydney Broadway,, Sydney, NSW, Australia

    Lakhmi C. Jain

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Phillips-Wren, G., Esposito, A., Jain, L. (2021). Introduction to Big Data and Data Science: Methods and Applications. In: Phillips-Wren, G., Esposito, A., Jain, L.C. (eds) Advances in Data Science: Methodologies and Applications. Intelligent Systems Reference Library, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-030-51870-7_1

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