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BigData Analytical Challenges with IOT

International Journal of Distributed and Cloud Computing

Volume 5 Issue 1

Published: 2017
Author(s) Name: Lalitha Balla, Chavva Ravi Kishore Reddy, A V L N Sujith | Author(s) Affiliation: Professor, Department of Computer Science and Engineering, JNTUAC, India.
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Abstract

Data in todays world is much more complex than ever before. With the technological advancements businesses are able to easily gather data both at the organizational level as well as from the external data sources. The accumulated data is huge and diverse with structured, unstructured components or data generated by Internet-of-Things (IOT). Businesses are in dire need to analyze these sets of data to derive a better value to the organizations. With analytics becoming central to all the business strategies, this paper presents a review of the challenges which the organizations have to take into account while dealing with these complex data residing in the data stores. Apart from the volumes and complexity of data, IOT brings in new challenges in the form of security to the BigData systems as a whole and data in particular. This paper also reviews the conceptual studies which have attributed to the growth of Bigdata technologies to provide business analytics by ensuring security to the data.

Keywords: BigData, BigData Analytics, Challenges, Internet-of-Things, Security

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