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Analysis, Searching & Sorting in Big data using Apache Hadoop


Author(s):

Prof.Kekade Mandar , DY PATIL COLLEGE OF ENGINEERING AND TECHNOLOGY,KOLHAPUR; Bhosale Rasika R., DY PATIL COLLEGE OF ENGINEERING AND TECHNOLOGY,KOLHAPUR; Chauhan GauravKumar M., DY PATIL COLLEGE OF ENGINEERING AND TECHNOLOGY,KOLHAPUR; Dhanawade Vaibhav K., DY PATIL COLLEGE OF ENGINEERING AND TECHNOLOGY,KOLHAPUR; Aswale Shweta S, DY PATIL COLLEGE OF ENGINEERING AND TECHNOLOGY,KOLHAPUR

Keywords:

Big Data, Apache Hadoop, Apache Hive

Abstract:

Big Data is generally considered as a large collection of data sets (In PetaBytes) which are difficult to analyze, share, store, search, transference through traditional data processing applications. Apache Hadoop is a Java written application for Storing, Processing and Analyzing large datasets (i.e Big Data) with the help of in-built Hadoop Distributed File System (HDFS), Yet Another Resource Negotiator (YARN), Map-Reduce Algorithm type algorithms and additional software packages like Apache Pig, Apache Hive, Apache HBase, Apache Spark and others. The aim of this project is to minimize the response time for the Searching, Sorting and Analyzing of the Big Data using efficient algorithms and databases.


Other Details:

Manuscript Id :IJSTEV2I9099
Published in :Volume : 2, Issue : 9
Publication Date: 01/04/2016
Page(s): 241-244
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