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Application Framework of Big Data: Its Challenge and Opportunity in Academic Libraries

Application Framework of Big Data: Its Challenge and Opportunity in Academic Libraries

Mahendra Kumar Sahu (Management Development Institute Murshidabad, India)
Copyright: © 2021 |Pages: 10
DOI: 10.4018/978-1-7998-3049-8.ch004
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Abstract

The 21st century witnessed the development of every sector with the inclusion of big data application. Application of big data plays a pivotal role in academic research by providing information seamlessly. The advent of various technology, such as social networking, cloud computing, IoT, generates huge numbers of data. These data have the characteristics of high value large velocity, large volume, and great variety. The main objective of this chapter is to familiarize big data and its application, and the opportunity and challenges in an academic library. Further, the chapter examines the application framework of big data in academic library based on large scale analysis.
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What Is Big Data?

Big data is a set of huge datasets that cannot be adequately processed through traditional processing techniques. It is not only a data that has become a full-fledged subject that includes various tools, techniques and structures. The Term Big Data describes the amount of data in a structured and unorganized manner in a day-to-day business environment. It is important that which organizations use them with important data. It also helps in making good decisions for the organization's development and analyzing deeper concepts for strategic. Further, Big Data is widely recognized by three aspects as follows:

  • 1.

    The data is of a very high volume

  • 2.

    The data generates, processes and preserves very firstly.

  • 3.

    The data cannot be categorized into fixed relation databases.

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