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Authors Name: P. Deepika , Prof. G.R. Ananatha Raman
Unique Id: IJSDR1603025
Published In: Volume 1 Issue 3, March-2016
Abstract: Data is the hot topic in the present scenario. When the size of the data is small, then pen drives or CD's can be used for storage. For medium sized data, a hard disk can be used for storage but when the size of the data is very large we call it as Big Data. For managing this massive amount of data, Google found out a solution which is named as MapReduce. It simply breaks a large data into small parts and processes it, then combines it together. Hadoop is the tool for managing the Big Data where it uses the MapReduce algorithm where different CPU nodes are used for processing the Big Data. This paper is a study of Hadoop MapReduce and its related concepts.
Keywords: Storage, Big Data, Hadoop, Mapreduce, CPU nodes
Cite Article: "HADOOP MAPREDUCE - WORDCOUNT IMPLEMENTATION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 3, page no.130 - 132, March-2016, Available :http://www.ijsdr.org/papers/IJSDR1603025.pdf
Downloads: 0001433
Publication Details: Published Paper ID: IJSDR1603025
Registration ID:160079
Published In: Volume 1 Issue 3, March-2016
DOI (Digital Object Identifier):
Page No: 130 - 132
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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