SOCIAL DATA ANALYSIS USING BIG-DATA ANALYTIC TECHNOLOGIESAPACHE FLUME, HDFS, HIVE.

  • Ms.Sulochana Panigrahi New Horizon College of Engineering, Bangalore, Karnataka, India
  • Dr.S Mohan Kumar New Horizon College of Engineering, Bangalore, Karnataka, India
DOI: https://doi.org/10.53555/cse.v2i5.838
Keywords: BIG-DATA, Flume, Hive, HQL, Structured, HDFS, Un-Structured,, SemiStructured,, Twitter, Tweets

Abstract

Analysis on Social media data is difficult due to language that is used for
comments. For this analysis using Hive and its queries to give the sentiment data based up on the
groups that defined in the HQL (Hive Query Language) is utmost important and so much in
demand. The analysis can be positive, moderate and negative comments. Tools can be used to do
the analysis are: Apache Flume, HDFS, Hive. In this paper all related research works and Bigdata
Tools, technologies and observations from the survey are all presented for better
understanding.

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Author Biographies

Ms.Sulochana Panigrahi, New Horizon College of Engineering, Bangalore, Karnataka, India

PG Scholar, Department of Computer Science and Engineering,
New Horizon College of Engineering, Bangalore, Karnataka, India

Dr.S Mohan Kumar, New Horizon College of Engineering, Bangalore, Karnataka, India

Associate Professor, Department of Computer Science and Engineering,
New Horizon College of Engineering, Bangalore, Karnataka, India

Published
2016-05-31
How to Cite
Panigrahi, M., & Kumar, D. M. (2016). SOCIAL DATA ANALYSIS USING BIG-DATA ANALYTIC TECHNOLOGIESAPACHE FLUME, HDFS, HIVE. IJRDO -Journal of Computer Science Engineering, 2(5), 16-21. https://doi.org/10.53555/cse.v2i5.838
Issue
Vol. 2 No. 5 (2016): IJRDO - Journal of Computer Science Engineering
Section
Articles

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