International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,November 2017,

Topic : A Survey on a Hadoop Framework for Big Data Applications

Authors:B.Swathi || Dr. P.Niranjan

Abstract:The big data is the idea of the gigantic scope of information, which is being made step by step. In current years dealing with this information is the significance test. Hadoop is an open source proposition which is utilized successfully to deal with the big data applications. The two central ideas of the Hadoop are MapReduce and Hadoop conveyed document framework. HDFS is the capacity system and guide lessen is the programming dialect. Results are created quicker than other customary database operations. A few dialects which encourage us to program the MapReduce system inside brief time frame..

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DOI: 01.1617/vol4/iss11/pid72490


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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