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Big Data in Cloud Today: A Comprehensive Survey

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Data Analytics for Internet of Things Infrastructure

Part of the book series: Internet of Things ((ITTCC))

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Abstract

Today, big data and cloud computing are two mainstream techniques in the field of information technology. Big data and cloud computing are concerned with massive scale of data and infrastructure, respectively. The reason for their adoption as a huge enterprise is the ease of simplification provided by these technologies. Big data indicates a large collection of data which cannot be processed by any source of available processing units. Cloud computing refers to handling and operation of data at the remote place. This chapter enunciates the importance, characteristics, and classification of big data with relevant examples. It also presents the tools and techniques used for the processing of big data. In addition, the concept, working, characteristics, and key features of cloud computing are discussed. Ultimately, this chapter correlates both the technologies – big data and cloud computing in today’s scenario with a case study.

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Author information

Authors and Affiliations

  1. Department of ECE, SCSVMV Deemed University, Kanchipuram, India

    K. Umapathy, S. Omkumar, S. Chandramohan & D. Muthukumaran

  2. Department of EE, Rajamangala University of Technology, Songkhla, Thailand

    Wasana Boonsong

Authors
  1. K. Umapathy
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  2. S. Omkumar
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  3. S. Chandramohan
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  4. D. Muthukumaran
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  5. Wasana Boonsong
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Editor information

Editors and Affiliations

  1. SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  2. Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Xi’an Shiyou University, Xi'An, China

    Yan Zhang

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Umapathy, K., Omkumar, S., Chandramohan, S., Muthukumaran, D., Boonsong, W. (2023). Big Data in Cloud Today: A Comprehensive Survey. In: Sharma, R., Jeon, G., Zhang, Y. (eds) Data Analytics for Internet of Things Infrastructure. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-33808-3_1

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  • DOI: https://doi.org/10.1007/978-3-031-33808-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33807-6

  • Online ISBN: 978-3-031-33808-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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