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Introduction to MapReduce

3.introduction to map reduce

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Page 1: 3.introduction to map reduce

Introduction to

MapReduce

Page 2: 3.introduction to map reduce

Hadoop What is MapReduce an example MapReduce Process Job Tracker & Task Tracker Anatomy of File Write Anatomy of File Read Replication & Rack awareness

Page 3: 3.introduction to map reduce

Hadoop is a framework that allows

for distributed processing of large data sets across clusters of

commodity computers using a

simple programming model

Page 4: 3.introduction to map reduce

Hadoop was designed to enable applications to make most out of cluster architecture by addressing two key points:1. Layout of data across the cluster ensuring data is evenly distributed2. Design of applications to benefit from data locality

It brings us two main mechanism of hadoop hdfs and hadoop MapReduce

Page 5: 3.introduction to map reduce

What is MapReduce

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example : election

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MapReduce process

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Job Tracker

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Job Tracker (contd.)

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Job Tracker (contd.)

Page 11: 3.introduction to map reduce
Page 12: 3.introduction to map reduce

Anatomy of File Write

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Anatomy of File Read

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Replication and Rack Awareness

Page 15: 3.introduction to map reduce

UNIT 3 : MAP REDUCE Introduction To Map Reduce Programs

UNIT 3 : MAP REDUCE Introduction To Map Reduce Programs

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