IJERT-EMS
IJERT-EMS

Challenges and Opportunities with Big Data


Challenges and Opportunities with Big Data
Authors : Prarthana T. V, Jebah Jayakumar
Publication Date: 17-07-2017

Authors

Author(s):  Prarthana T. V, Jebah Jayakumar

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 07 , July - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS070139

Abstract

We are living in an era of big data – an age of huge information. Big Data incorporate endless information. Big Data is getting larger in industries and providing better business. It has changes the world in the terms of predicting customer’s behavior. Another buzz word these days is social networks and relation between two of these is very obvious yet complicated. Both Big Data and Social network are interdependent to each other as most of the data is generating from social networking sites but not all the Big Data is useful. The actual challenge of Big Data is not collecting it but managing it and making sense out of it. Such huge data is becoming a new technology focus both in science and in industry and motivate technology shift to data centric architecture and operational models. There is a vital need to define the basic information/semantic models, architecture components and operational models that together comprise a so-called Big Data Ecosystem. This paper mainly focuses on introducing the concept of big data, the terminology used and the architectural details of the big data ecosystem. Researchers and practitioners are trying to look into the future of big data so that more and more benefit can be taken out of the large amount of data. Hadoop - MapReduce is getting prominent in the field of Big Data. Big Data is being used in several research areas related to health-care, location based services, satellite information usage as well as online advertising and retail marketing. This also tries to establish a connect between big data, online social networking, Hadoop, MapReduce.

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