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Introduction to Big Data Technology

In: Social Big Data Analytics

Author

Listed:
  • Bilal Abu-Salih

    (The University of Jordan)

  • Pornpit Wongthongtham

    (The University of Western Australia)

  • Dengya Zhu

    (Curtin University)

  • Kit Yan Chan

    (Curtin University)

  • Amit Rudra

    (Curtin University)

Abstract

Big data is no more “all just hype” but widely applied in nearly all aspects of our business, governments, and organizations with the technology stack of AI. Its influences are far beyond a simple technique innovation but involves all rears in the world. This chapter will first have historical review of big data; followed by discussion of characteristics of big data, i.e. from the 3V’s to up 10V’s of big data. The chapter then introduces technology stacks for an organization to build a big data application, from infrastructure/platform/ecosystem to constructional units and components. Finally, we provide some big data online resources for reference.

Suggested Citation

  • Bilal Abu-Salih & Pornpit Wongthongtham & Dengya Zhu & Kit Yan Chan & Amit Rudra, 2021. "Introduction to Big Data Technology," Springer Books, in: Social Big Data Analytics, chapter 0, pages 15-59, Springer.
    • Handle: RePEc:spr:sprchp:978-981-33-6652-7_2
    DOI: 10.1007/978-981-33-6652-7_2
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    Cited by:

    1. Haolan Zhang & Sanghyuk Lee & Yifan Lu & Xin Yu & Huanda Lu, 2022. "A Survey on Big Data Technologies and Their Applications to the Metaverse: Past, Current and Future," Mathematics, MDPI, vol. 11(1), pages 1-28, December.

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