Study of big data analysis procedures

Joon Ho Park, Jin Ho Park, Nam Young Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years companies and public institutions have long been accumulating and analyzing log data, and various types of data. It is building big data analytics platform for a variety of data analysis. Big data analysis platform may consist of distributed processing type quickly analysis large amounts of data. Recently, build a big data systems for companies and public institutions in the analysis of large amounts of data. Companies are providing a variety of services to users through data analysis. The public institutions are used to analysis a specific period of time and is useful in transportation, urban design, and commercial area analysis. In addition, national authorities to share that holds the data and the public and various analysis. However, it is a big data analytics projects that emerged as an issue in recent years this trend. Big Data Analytics project is to derive business results through data collection, data analysis and then build a big data platform. Currently, many companies have problems with the case of big data analysis projects using a methodology developed its own methodology and the CBD doing business. In this paper defines big data Analysis Methodology, and suggests construct standards and construct procedures.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing - CSA-CUTE2016
EditorsVincenzo Loia, James J. Jong Hyuk Park, Gangman Yi, Yi Pan
PublisherSpringer Verlag
Pages1025-1030
Number of pages6
ISBN (Print)9789811030222
DOIs
StatePublished - 2017
Event11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 - Bangkok, Thailand
Duration: 19 Dec 201621 Dec 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume421
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016
Country/TerritoryThailand
CityBangkok
Period19/12/1621/12/16

Keywords

  • Big data
  • Big data analysis
  • Big data methodology
  • Big data procedure

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