A Review Paper on BIG Data

Authors(3) :-Sushmita, Simranjeet Kaur, Simranjot Kaur

Big data is a data or data sets so large or complex that traditional data processing applications are inadequate and distributed databases are needed. Firms like Google, eBay, LinkedIn, and Face book were built around big data from the beginning. It is a collection of massive and complex data sets that include the huge quantities of data, social media analytics, data management capabilities, real time data etc. Challenges include sensor design, capture, data curation, sharing, storage, analysis, visualization, information privacy etc. Big data refers to datasets high in variety and velocity, so that very difficult to handle using traditional tools and techniques. The process of research into massive data to reveal secret correlations named as big data analytics. Big Data is a data whose complexity requires new techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it. We need a different platform named Hadoop as the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes.

Authors and Affiliations

Department CSE, College AIT Gharuan, Punjab , India
Simranjeet Kaur
Department CSE, College AIT Gharuan, Punjab , India
Simranjot Kaur
Department CSE, College AIT Gharuan, Punjab , India

Big Data, Parallel Programming, Data Buck Map Reduce.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 403-407
Manuscript Number : CSEIT172341
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sushmita, Simranjeet Kaur, Simranjot Kaur, "A Review Paper on BIG Data", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.403-407, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT172341

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