Big Data on Amazon: Elastic MapReduce, step by step

Big Data on Amazon: Elastic MapReduce, step by step

Summary: Curious how to go about doing Hadoop in Amazon's cloud? Here's some guidance.

TOPICS: Big Data

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  • Sample applications

    Those just experimeting with Amazon's Elastic MapReduce can get started immediately by running a sample application, rather than running their own code on their own data.  Amazon offers WordCount (the ubiquitous Hadoop sample application) as well as a Hive-based contextual advertising sample, Java and Pig-based log analysis samples and another Java-based sample that looks at data from Amazon's CloudBurst service.

  • Run your own app

    If you need to do production work, or just want to conduct a more free-form Hadoop experiment, you'll want to select the option to run your own application.  Picking HBase and clicking Continue is best, as this lets you add Hive and Pig as well.

  • Specify Parameters

    The Specify Parameters screen allows you configure backup options for your HBase cluster, and/or to create the new cluster by restoring from an existing backup.

    If you just want to play in the sandbox though, you can disregard the backup options, but make sure to select the Hive and Pig checkboxes in the Install Additional Packages section at the bottom of the screen, then click Continue.

Topic: Big Data

Andrew Brust

About Andrew Brust

Andrew J. Brust has worked in the software industry for 25 years as a developer, consultant, entrepreneur and CTO, specializing in application development, databases and business intelligence technology.

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