UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 3
March-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1703041


Registration ID:
170156

Page Number

193-198

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Title

Data Compression Techniques For Big Data

Abstract

Due to rapidly increasing size of data which comes from different heterogenous sources, storage, maintenance, processing & real time transfer of big data is becoming a challenging task. Many times data files contain irrelevant and redundant data which can be removed to reduce size of file manageable. Various techniques to achieve this task are called compression techniques. These techniques can be utilized to text, image, audio, video etc data. Compressed data not only increases transfer speed but also improves knowledge discovery as well as processing time.

Key Words

Compression, text compression, image compression, audio-video compression, big data compression, lossy-lossless compression

Cite This Article

"Data Compression Techniques For Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 3, page no.193-198, March-2017, Available :http://www.jetir.org/papers/JETIR1703041.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Data Compression Techniques For Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 3, page no. pp193-198, March-2017, Available at : http://www.jetir.org/papers/JETIR1703041.pdf

Publication Details

Published Paper ID: JETIR1703041
Registration ID: 170156
Published In: Volume 4 | Issue 3 | Year March-2017
DOI (Digital Object Identifier):
Page No: 193-198
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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