Taming Big Data with MapReduce and Hadoop - Hands On! [Video]

Taming Big Data with MapReduce and Hadoop - Hands On! [Video]

Frank Kane

Master the art of processing Big Data using Hadoop and MapReduce with the help of real-world examples
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Video Details

ISBN 13 9781787125568
Course Length 4 hours 58 minutes

Table of Contents

Video Description

Big Data processing is creating a lot of buzz in the market lately, with organizations having to deal with large amounts of data on a daily basis. Processing such data and extracting actionable insights from it is a major challenge; that’s where Hadoop and MapReduce comes to the rescue. This course will teach you how to use MapReduce for Big Data processing – with lots of practical examples and use-cases. You will start with understanding the Hadoop ecosystem and the basics of MapReduce. You will proceed to see how MapReduce can be used to process different types of data – whether it is analyzing movie ratings or your social network data. You will also learn how to run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce. The course wraps up with an overview of other Hadoop-based technologies such as Hive, Pig, and the in-demand Apache Spark.

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What You Will Learn

  • Understand what Hadoop is and what it is used for
  • Develop and run MapReduce jobs in Python
  • Use MapReduce to analyze different types like social network data, movie data, and more
  • Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
  • Get to grips with the other Hadoop-based techs like Hive, Spark and Pig

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Table of Contents

Video Details

ISBN 139781787125568
Course Length4 hours 58 minutes
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