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Title: SEMIANR REPORT ON MapReduce Simplified Data Processing On Large Clusters
Page Link: SEMIANR REPORT ON MapReduce Simplified Data Processing On Large Clusters -
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DOWNLOAD THE SEMINAR REPORT

SEMIANR REPORT ON MapReduce: Simplified Data Processing On Large Clusters

Abstract
In the new era of computing, instead of buying software for satisfying the computing needs of users, millions are rely on the Internet. Internet services are already significant forces in searching, retail purchases music downloads and auctions. But the web data sets are large and the computations have to be distributed across hundreds or thousands of machines inorder to finish in a reasonable amount of time ....etc

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Title: hadoop abstract for seminars report
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Title: HADOOP DISTRIBUTED FILE SYSTEM
Page Link: HADOOP DISTRIBUTED FILE SYSTEM -
Posted By: eastmananoop
Created at: Thursday 17th of August 2017 06:33:27 AM
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HADOOP DISTRIBUTED FILE SYSTEM



Introduction

Apache Hadoopis asoftware frameworkthat supports data-intensivedistributed applicationsunder afree license.It enables applications to work with thousands of nodes andpetabytesof data.
Hadoop was inspired byGoogle'sMapReduceandGoogle File System(GFS) papers.
Hadoop is a Apacheproject being built and used by a global community of contributors, using theJavaprogramming language.
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Title: hadoop seminars abstract
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Posted By: baljeet
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hadoop seminar abstract

Abstract
Hadoop is the popular open source implementation of MapReduce, a powerful tool designed for deep analysis and transformation of very large data sets. Hadoop enables you to explore complex data, using custom analyses tailored to your information and questions.

Hadoop is the system that allows unstructured data to be distributed across hundreds or thousands of machines forming shared nothing clusters, and the execution of Map/Reduce routines to run on the data in that cluster. Hadoop has its own filesystem which ....etc

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Title: Distributed Image Processing using hadoop MapReduce framework
Page Link: Distributed Image Processing using hadoop MapReduce framework -
Posted By: vamsi
Created at: Thursday 17th of August 2017 08:10:32 AM
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Distributed Image Processing using Hadoop MapReduce framework
Presented By:
Binoy A Fernandez
Sameer Kumar
Distributed Image Processing
Objective

To demonstrate how the hadoop mapreduce framework can be extended to work with image data for distributed image processing.
Distributed Sobel Edge Detection algorithm
Easy to understand and implement, and at the same time, it is computationally expensive.
Has the property th ....etc

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