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A Survey on Big Data Analysis and Challenges
J. Samatha1, K. Bhagya Laxmi2

1J. Samatha, Department of Computer Science & Engineering, Matrusri Engineering College, Hyderabad (Telangana). India.
2K.Bhagya Laxmi, Department of Computer Science & Engineering, Matrusri Engineering College, Hyderabad (Telangana). India

Manuscript received on 13 June 2016 | Revised Manuscript received on 20 June 2016 | Manuscript Published on 30 June 2016 | PP: 1-6 | Volume-5 Issue-5, June 2016 | Retrieval Number: E4579065516/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: One of contemporary big challenges in information systems is the issues associated with coping with and utilization of vast amounts of data. In this paper we present applications of big data , analysis of big data. The analysis of big data involves phases such as acquisition / recording, extraction / cleaning / annotation, integration / aggregation / representation, analysis / modeling, interpretation. We also discuss the challenges introduced in these phases.
Keywords: Bigdata, Volume, Velocity, Variety, Extraction, Integration, Analysis.

Scope of the Article: Big Data Analysis