Big Data Analytics on IOT: Challenges, Open Research Issues and Tools

Mantripatjit Kaur¹ , Anjum Mohd Aslam²

1. Dept. of CSE-IBM, Chandigarh University, Mohali, India.
2. Dept. of CSE, Chandigarh University, Mohali, India.

Section:Review Paper, Product Type: Isroset-Journal
Vol.6 , Issue.3 , pp.81-85, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i3.8185

Online published on Jun 30, 2018

Copyright © Mantripatjit Kaur, Anjum Mohd Aslam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
A tremendous repository of terabytes of data is generated every day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of such huge data requires a lot of efforts at multiple levels to extract knowledge for decision making. Therefore, big data analysis is a current area of research and development. The main objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it. As a result, this article provides a platform to explore big data at numerous stages. Additionally, it opens a new horizon for researchers to develop the solution, based on the challenges and open research issues.

Key-Words / Index Term :
Co Big data analytics; Hadoop; Massive data; Structured data; Unstructured Data

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