Big Data - MapReduce and Hadoop

The world of MapReduce and Hadoop in "Big Data" have hundreds of different technologies in the market. With this course, you'll not only understand what those systems are and how they fit together but, you'll go hands-on and learn how to use them to solve real business problems. This course is comprehensive, covering over 25 different technologies delivered through video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop and MapReduce. At the end of this course, you may expect to learn the course with a real, deep understanding of Hadoop and MapReduce along with its associated distributed systems and you can apply them to real-world problems.

Learning Objectives:

• Understand how MapReduce can be used to analyze big data sets
• Write your own MapReduce jobs using Python and MRJob
• Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
• Chain MapReduce jobs together to analyze more complex problems
• Analyze social network data using MapReduce
• Analyze movie rating data using MapReduce and produce movie recommendations with it.
• Understand other Hadoop-based technologies, including Hive, Pig, and Spark
• Understand what Hadoop is for, and how it works

It is available for all the learners.

WIISE

What will you cover?:

• Introduction, and Getting Started
• Understanding MapReduce
• Advanced MapReduce Examples
• Using Hadoop and Elastic MapReduce
• Advanced Hadoop and EMR
• Other Hadoop Technologies

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