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Big Data Analytics on Weather Data:Predictive Analysis Using Multi Node Cluster Architecture

Published on July 2018 by Vikash Kumar, Abhijeet D, Anurag Gupta, Rajashekarappa, Parameshachari B. D.
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National Conference on Electronics, Signals and Communication
Foundation of Computer Science USA
NCESC2017 - Number 2
July 2018
Authors: Vikash Kumar, Abhijeet D, Anurag Gupta, Rajashekarappa, Parameshachari B. D.
90dd71a3-d456-4d20-aff3-8d69f1db1c1d

Vikash Kumar, Abhijeet D, Anurag Gupta, Rajashekarappa, Parameshachari B. D. . Big Data Analytics on Weather Data:Predictive Analysis Using Multi Node Cluster Architecture. National Conference on Electronics, Signals and Communication. NCESC2017, 2 (July 2018), 12-16.

@article{
author = { Vikash Kumar, Abhijeet D, Anurag Gupta, Rajashekarappa, Parameshachari B. D. },
title = { Big Data Analytics on Weather Data:Predictive Analysis Using Multi Node Cluster Architecture },
journal = { National Conference on Electronics, Signals and Communication },
issue_date = { July 2018 },
volume = { NCESC2017 },
number = { 2 },
month = { July },
year = { 2018 },
issn = 0975-8887,
pages = { 12-16 },
numpages = 5,
url = { /proceedings/ncesc2017/number2/29612-7066/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Electronics, Signals and Communication
%A Vikash Kumar
%A Abhijeet D
%A Anurag Gupta
%A Rajashekarappa
%A Parameshachari B. D.
%T Big Data Analytics on Weather Data:Predictive Analysis Using Multi Node Cluster Architecture
%J National Conference on Electronics, Signals and Communication
%@ 0975-8887
%V NCESC2017
%N 2
%P 12-16
%D 2018
%I International Journal of Computer Applications
Abstract

Data is growing at a tremendous rate with an increase in digital universe. However increase in data itself is a minor problem, but the increase in percentage of unstructured data in the overall data volume is matter of concern. Big Data Analytics surpasses conventional business intelligence programs through enabling users to analyze larger amounts of data, including unstructured data which is usually left redundant. Big data analysis is a current area of research and development. The basic objective of this paper is to explore the potential impact of big data challenges. As a result, this article provides a platform to explore big data at numerous stages. Additionally, it opens a new horizon for researchers to develop the solution, based on the challenges and open research issues. This paper, describes the formatting guidelines for IJCA Journal Submission.

References
  1. International Journal of Advanced Computer Science and Applications, Vol. 7, No. 2, 2016, A Survey on Big Data Analytics.
  2. Michael Minelli, Michele Chambers, Ambiga Dhiraj published in the year March 2013. Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses.
  3. Oreilly. Hadoop. 3rd. Edition. Jan. 2012, BIGDATA: The Definitive Guide
  4. Jeffrey Dean and Sanjay Ghemawat, MapReduce: Simpli?ed Data Processing on Large Clusters.
  5. Big Data Executive Survey 2017, Big Data Business Impact: Achieving Business Results through Innovation and Disruption.
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Analytics Hadoop Multi Node Cluster Architecture Map Reduce