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Big Data Analytics and Its Applications in IoT

Big Data Analytics and Its Applications in IoT
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Author(s): Shaila S. G. (Dayananda Sagar University, India), Bhuvana D. S. (Dayananda Sagar University, India)and Monish L. (Dayananda Sagar University, India)
Copyright: 2021
Pages: 13
Source title: Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
Source Author(s)/Editor(s): Sathiyamoorthi Velayutham (Sona College of Technology, India)
DOI: 10.4018/978-1-7998-3111-2.ch009

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Abstract

Big data and the internet of things (IoT) are two major ruling domains in today's world. It is observed that there are 2.5 quintillion bytes of data created each day. Big data defines a very huge amount of data in terms of both structured and unstructured formats. Business intelligence and other application domains that have high information density use big data analytics to make predictions and better decisions to improve the business. Big data analytics is used to analyze a high range of data at a time. In general, big data and IoT were built on different technologies; however, over a period of time, both of them are interlinked to build a better world. Companies are not able to achieve maximum benefit, just because the data produced by the applications are not utilized and analyzed effectively as there is a shortage of big data analysts. For real-time IoT applications, synchronization among hardware, programming, and interfacing is needed to the greater extent. The chapter discusses about IoT and big data, relation between them, importance of big data analytics in IoT applications.

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