Authors: Tulasi.B , Girish J Vemulkar

 

Publisher: Zenodo

 
Terms of Re-use: CC-BY
 
Content Provider: DataCite Metadata Store (German National Library of Science and Technology) 
 
Abstract
 
Internet is continuously evolving and changing. Internet of Things (IoT) can be considered as the future of Internet applications which involves machine to machine learning (M2M). The actionable intelligence can be derived through fusion of Big Data and real time analytics with IoT. Big Data and IoT can be viewed as two sides of a coin. With the connection between Big Data and the objects on Internet benefits of IoT can be easily reaped. The applications of IoT spread across various domains like health care, retail management and disaster management. Despite the benefits associated with the synthesis of Big Data analytics and IoT there are inherent complexities and challenges involved which needs to be catered. This paper focuses on the combination of Big Data analytics and IoT. 

This article is published under license Creative Commons Attribution 4.0

Illustration Photo: Industrial IoT sensor (credits: Carlos Torres / Flickr Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

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