A Survey on Big Data Analytics

Ravi Kumar*, Bharti Nagpal**
* Student, Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, Delhi, India.
** Assistant Professor, Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, Delhi, India.
Periodicity:August - October'2015
DOI : https://doi.org/10.26634/jcc.2.4.4908

Abstract

We live in the age of big data, where every data is linked to some data source. Digitally, it is difficult to calculate the amount of data. Big data refers to volumes of data in the range of petabytes and beyond. This amount of data exceeds the capacity of online storage and the processing systems. This data creation will cross the zettabyte/year range. The data mainly comes from twitter tweets, Facebook comments and so on. This type of data is normally in the form of images, video and different documents that are in unstructured form. For analysing this large amount of data, Hadoop platform is used which is fast and cost effective. In this paper, the authors have mainly focused on literature review and their challenges.

Keywords

Hadoop, Bigdata, Analytics.

How to Cite this Article?

Kumar, R., and Nagpal, B. (2015). A Survey on Big Data Analytics. i-manager’s Journal on Cloud Computing, 2(4), 43-48. https://doi.org/10.26634/jcc.2.4.4908

References

[1]. Neil M. Richards & Jonathan H. King, (2013). “Three Paradoxes of Big data”. Stanford Law Review.
[2]. Kapil Bakshi, (2012). “Consideration for Big Data: Architecture and approach”. IEEE Journal Database 2012.
[3]. Michelle Cheatham, (2015). “Privacy in the Age of Big Data”. IEEE, Collaboration Technologies and Systems (CTS), 2015 International Conference on, pp. 334-335.
[4]. Brad Brown, Michael Chui, and James Manyika, (2011). “Are you ready for the era of 'big data'?”. McKinsey Quarterly, Vol. 4, pp. 24-35.
[5]. Ira S. Rubinstein, (2012). “Big Data: The End of Privacy or a New Beginning?”. Int’l Data Priv. L; Vol. 74, No. 78.
[6]. RaghavToshniwal, Kanishka Ghosh Dastidar & AsokeNath, (2015). “Big Data Security Issues and Challenges”, IJIRAE, International Journals of Innovative Research in Advanced Engineering, Vol. 2, No. 2, pp. 15- 20.
[7]. KarthikKambatla, GiorgosKollias, Vipin Kumar, AnanthGrama, (2014). “Trends in Big Data Analytics”. J. Parallel Distrib.Comput., Vol. 74, pp.2561-2573.
[8]. Alfredo Cuzzocrea, II-Yeol Song, Karen C. Davis, (2011). “Analytics over Large – Scale Multidimensional Data: The Big Data Revolution”, DOLAP, Proceeding of the ACM 14th Int’l workshop in Data ware housing and OCAP, pp. 101-104.
[9]. Hsinchum Chen, Roger H. L. Chiang, (2012). “Business Intelligence and Analytics: From Big Data to Big Impact”. MIS Quarterly, Vol. 36, No. 4.
[10]. Vivien Marx, (2013). “The Big Challenges of Big Data”. Nature, Vol. 498, No. 7453, pp. 255-260.
[11]. Sachchidanand Singh, & Nirmala Singh, (2012). “Big Data Anaytics”. International Conference on Communication, Information of Computing Technology (ICCICT), India.
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