BIG DATA & HADOOP Interview Question  Question: What is MapReduce in Hadoop Ans: Ø MapReduce is a processing technique and a program model for distributed computing based on java. Ø The MapReduce algorithm contains two important tasks, namely Map and Reduce. Ø Map takes a set of data and converts it into another set of data, where individual elements are broken down into tuples (key/value pairs) Q>What is MapReduce Shuffling and Sorting in Hadoop. Ans: Ø Shuffling is the process by which it transfers mappers intermediate output to the reducer. Ø Reducer gets 1 or more keys and associated values on the basis of reducers. Ø The intermediated key – value generated by mapper is sorted automatically by key. In Sort phase merging and sorting of map output takes place. Ø Shuffling and Sorting in Hadoop occurs simultaneously. #bigdatatechnologies   #hadoopdeveloper   #datacleaning   #dataanalytics   #learndatascience   #learningeveryday Question>How ...