MapReduce and Hadoop

Learn the software framework for distributed processing of large data sets on compute clusters of commodity hardware.

About Course

Hadoop MapReduce (Hadoop Map/Reduce) is a software framework for distributed processing of large data sets on compute clusters of commodity hardware. It is a sub-project of the Apache Hadoop project. The framework takes care of scheduling tasks, monitoring them and re-executing any failed tasks. 

According to The Apache Software Foundation, the primary objective of Map/Reduce is to split the input data set into independent chunks that are processed in a completely parallel manner. The Hadoop MapReduce framework sorts the outputs of the maps, which are then input to the reduce tasks. Typically, both the input and the output of the job are stored in a file system.


  • Trainers with more than a decade of Industry Expertise.
  • Our emphasize is more on practical based learning. 
  • 24X7 support
  • We are associated with 500+ corporates.
  • Standout performers will be projected for placements in these corporates based on requirements.
  • Every session will be recorded and will be available on our LMS (Learning Management System) and students will have life time access to it. 
  • We provide Interview Guidelines to help in better understanding of industry requirements and expectations. 
  • Our trainings are available online and offline mode.
  • We focus and prefer Instructor Led Live training programs.
  • Assessments will there on weekly basis. Pre and post training assessment are included to rate yourself after the learning.
  • Course Completion Certificate will be provided.

Why should I take this course

One of the most important and motivating reasons to learn Big Data and Hadoop is the fact that it brings an array of opportunities to bolster your career to an unprecedented level. As more and more companies turn to Big Data, they are increasingly looking for specialists who can interpret and use data. If you want to advance your career towards big data this hadoop course is for you.

How Hadoop MapReduce works

In MapReduce, during the map phase, it counts the words in each document, while in the reduce phase it aggregates the data as per the document spanning the entire collection. During the map phase, the input data is divided into splits for analysis by map tasks running in parallel across the Hadoop framework.

What is Hadoop

It is an open-source software framework for storing data and running applications on clusters of commodity hardware.  It provides enormous processing power and massive storage for any type of data.

Can I learn Hadoop with different programming language knowledge

The Hadoop Ecosystem has plenty of tools that can be leveraged by professionals even from different programming backgrounds. For example, if you are a software programmer then you are free to write MapReduce jobs in Java, Python etc. if you have a background in scripting languages then Apache Pig is the best choice to consider here. At the same time, if you are more comfortable with SQL, then you can move to the Apache Hive or Apache Drill.The demand for Hadoop professionals is growing worldwide and this strong growth pattern translated into huge job opportunities for all IT professionals