In this session you will learn: Meet MapReduce Word Count Algorithm – Traditional approach Traditional approach on a Distributed System Traditional approach – Drawbacks MapReduce Approach Input & Output Forms of a MR program Map, Shuffle & Sort, Reduce Phase WordCount Code walkthrough Workflow & Transformation of Data Input Split & HDFS Block Relation between Split & Block Data locality Optimization Speculative Execution MR Flow with Single Reduce Task MR flow with multiple Reducers Input Format & Hierarchy Output Format & Hierarchy To know more, click here: https://www.mindsmapped.com/courses/big-data-hadoop/big-data-and-hadoop-training-for-beginners/