ugc approved journal list IJRTI Research Journal
International Journal for Research Trends and Innovation
An International Open Access Journal
Impact Factor: 4.87

Call For Paper

Issue: June 2019

Volume 4 | Issue 6

Impact Factor: 4.87

Submit Paper Online

Click Here For more Details

For Authors

Forms / Download

Editorial Board

Subscribe IJRTI

Facts & Figure

Impact Factor : 4.87

Issue per Year : 12

Volume Published : 4

Issue Published : 37

Article Submitted : 1587

Article Published : 957

Total Authors : 2612

Total Reviewer : 522

Total Pages : 71

Total Countries : 14

Visitor Counter

Indexing Partner

Published Paper Details
Paper Title: Textual BigData Analysis by Record-aware Partial Compression Schema using Hadoop
Authors Name: Manasa Goudashivannavar , Dr.Chetana Prakash
Unique Id: IJRTI1807037
Published In: Volume 3 Issue 7, July-2018
Abstract: As the amount of data is increasing due to the high usage of social media and Internet it is becoming a critical task in analyzing and storage of this semi-structured and unstructured data. The extraction of useful information from these data is widely acknowledged with consequent logical and business exploitation. Continuous increase in the production of data pushes the data analytic platform to their limits. So the effective means for storing the large quantity of data is by using different Compression techniques which is used to reduce data size which has been employed by using many emerging data analytic platforms. The primary motivation behind using compression techniques is to decrease the storage space and transmission cost over the network. Since general purpose compression strategies try to accomplish high level compression proportions which utilizes information change procedures and logical information. The proposed work includes the techniques for more efficient analysis of textual data using record-aware compression schemes which is appropriate for Hadoop platforms and it will be evaluated for number of standard MapReduce tasks by using a collection of private and public datasets.
Keywords: RaPC, Hadoop, BigData, MapReduce
Cite Article: "Textual BigData Analysis by Record-aware Partial Compression Schema using Hadoop", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.3, Issue 7, page no.237 - 240, July-2018, Available :
Downloads: 000839
Publication Details: Published Paper ID: IJRTI1807037
Registration ID:180348
Published In: Volume 3 Issue 7, July-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
Share Article:

Click Here to Download This Article

Article Preview

Major Indexing from
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related


Conference Proposal

Latest News / Updates

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Untitled Document