Learn By Example: Hadoop, MapReduce for Big Data problems [Video]

Learn By Example: Hadoop, MapReduce for Big Data problems [Video]

Loonycorn

A hands-on workout in Hadoop, MapReduce and the art of thinking "parallel"
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Video Details

ISBN 13 9781788994491
Course Length 13 hours 44 minutes

Table of Contents

Video Description

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel. This course is both broad and deep. It covers the individual components of Hadoop in great detail and also gives you a higher level picture of how they interact with each other. It's a hands-on workout involving Hadoop, MapReduce. This course will get you hands-on with Hadoop very early on. You'll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered, including advanced topics like Total Sort and Secondary Sort. MapReduce completely changed the way people thought about processing Big Data. Breaking down any problem into parallelizable units is an art. The examples in this course will train you to think in parallel.

Style and Approach

Hands-on workout involving Hadoop, MapReduce.

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What You Will Learn

  • Develop advanced MapReduce applications to process BigData
  • Master the art of thinking parallel and how to break up a task into Map/Reduce transformations
  • Self-sufficiently set up your own mini-Hadoop cluster whether it's a single node, a physical cluster or in the cloud.
  • Use Hadoop + MapReduce to solve a wide variety of problems : from NLP to Inverted Indices to Recommendations
  • Understand HDFS, MapReduce and YARN and how they interact with each other
  • Understand the basics of performance tuning and managing your own cluster

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Table of Contents

Video Details

ISBN 139781788994491
Course Length13 hours 44 minutes
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