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Course: Massive Data Analysis 2014/Hadoop Exercise

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(Created page with '== Before you start == * You '''must''' have Hadoop installed and working on your local machine. You also need to setup your Amazon AWS account. Refer to the instruction in the cā€¦')
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* You '''must''' have Hadoop installed and working on your local machine. You also need to setup your Amazon AWS account. Refer to the instruction in the course page.
* You '''must''' have Hadoop installed and working on your local machine. You also need to setup your Amazon AWS account. Refer to the instruction in the course page.
* Download the following package: http://vgc.poly.edu/~fchirigati/mda-class/hadoop-exercise.zip. This package contains the basic WordCount example to help you get started.
* Download the following package: http://vgc.poly.edu/~fchirigati/mda-class/hadoop-exercise.zip. This package contains the basic WordCount example to help you get started.
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* What to submit:
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* What to submit
** Code: place your code in a public GitHub repository
** Code: place your code in a public GitHub repository
** Results: put the results in your S3 bucket (don't forget to make it public)
** Results: put the results in your S3 bucket (don't forget to make it public)
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** Complete this form to add the links to your GitHub repository and S3 bucket
+
** Complete this [http://bit.ly/1vAxovu form] to add the links to your GitHub repository and S3 bucket
== Exercise 0: WordCount ==
== Exercise 0: WordCount ==

Revision as of 12:27, 3 October 2014

Contents

Before you start

  • You must have Hadoop installed and working on your local machine. You also need to setup your Amazon AWS account. Refer to the instruction in the course page.
  • Download the following package: http://vgc.poly.edu/~fchirigati/mda-class/hadoop-exercise.zip. This package contains the basic WordCount example to help you get started.
  • What to submit
    • Code: place your code in a public GitHub repository
    • Results: put the results in your S3 bucket (don't forget to make it public)
    • Complete this form to add the links to your GitHub repository and S3 bucket

Exercise 0: WordCount

  • Run the basic WordCount example on your local machine and AWS


Exercise 1: Fixed-Length WordCount

Exercise 2: InitialCount

Exercise 3 Top-K WordCount

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