Learn By Example: Hadoop, MapReduce for Big Data problems

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A hands-on workout in Hadoop, MapReduce and the art of thinking “parallel”

Develop advanced MapReduce applications to process BigData
Master the art of “thinking parallel” – how to break up a task into Map/Reduce transformations
Self-sufficiently set up their 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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