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Big Data

In: Big Data Analytics

Author

Listed:
  • Ümit Demirbaga

    (University of Cambridge, Department of Medicine
    Bartin University, Department of Computer Engineering, Faculty of Engineering, Architecture, and Design)

  • Gagangeet Singh Aujla

    (Durham University, Department of Computer Science)

  • Anish Jindal

    (Durham University, Department of Computer Science)

  • Oğuzhan Kalyon

    (Newcastle University, Faculty of Medical Sciences)

Abstract

This chapter introduces the fundamental concepts of big data, offering a comprehensive understanding of its definition, key characteristics, and the widely recognised 5 Vs. The multifaceted challenges associated with realising the enormous potential of big data are explored, encompassing issues related to data collection, storage, privacy, security, and the complexities of deriving value from this extensive resource. In addition, avenues for harnessing the power of big data are investigated, including applying advanced analytics and machine learning, utilising data visualisation techniques, and implementing communication strategies. Lastly, a glimpse into the future of big data is provided, shedding light on emerging trends and directions that will shape its ongoing evolution and influence across various domains.

Suggested Citation

  • Ümit Demirbaga & Gagangeet Singh Aujla & Anish Jindal & Oğuzhan Kalyon, 2024. "Big Data," Springer Books, in: Big Data Analytics, chapter 0, pages 9-30, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-55639-5_2
    DOI: 10.1007/978-3-031-55639-5_2
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