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

More Information
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
About

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.

Features
  • Understand how MapReduce can be used to process and analyze large data sets
  • Frame your complex data analysis problems as multi-stage MapReduce jobs
  • Over 10 real-world examples to help you learn the concepts of Hadoop and MapReduce for Big Data processing
Course Length 4 hours 58 minutes
ISBN 9781787125568
Date Of Publication 11 Sep 2016

Authors

Frank Kane

Frank Kane - Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.

Sundog Education - Sundog Education's mission is to make highly valuable career skills in big data, data science, and machine learning, accessible to everyone in the world. Their consortium of expert instructors shares their knowledge in these emerging fields with you, at prices anyone can afford. Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.