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Introduction about Mapreduce Training:

MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. A MapReduce program is composed of a Map() procedure that performs filtering and sorting and a Reduce() method that performs a summary operation. The “MapReduce System” orchestrates the processing by marshalling the distributed servers, running the various tasks in parallel, managing all communications and data transfers between the various parts of the system, and providing for redundancy and fault tolerance.

Take your knowledge to the next level with MapReduce training course that delivers the key concepts and expertise participants need to create Project, Class, Package. From MapReduce Programming to developing MapReduce Application. Our training course is the best preparation for the realworld challenges faced by the developers.

Mapreduce Corporate Training Course content:

Topic 01: Basic concept of OOPS
  • Object
  • Class
  • Attributes
  • Inheritance
  • Aspects of Java
Topic 02: Creation of Project, Class, Package
  • Java-Eclipse.
  • How to Create New Java project
  • How to create New Java Class
  • Hello World program
  • How to run this program
  • Types of integer
  • Class creation & name given
  • Create object
  • Creation of package
Topic 03: What is Java Inheritance
  • Sub-class & super Class
  • Map-Reducing in Inheritance
Topic 04: What is overloading & overriding
  • What is the method of overloading
  • Overloading modify
  • Difference between overloading & overriding
  • Method of overriding
Topic 05: Abstraction Concepts
  • Basic concept of abstract
  • Abstract class demo
  • Class extends
  • Difference between Abstract & concrete class
  • Implementation of abstract class in Java
  • Difference between JRE & JBM
Topic 06: Mapreduce Programming
  • Word count example
  • Exception
  • Tool runner
  • Mapper
  • Map method
  • Sum reducer

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Topic 07: What is Map Phase?
  • Introduction and characteristics of big data
  • Introduction of Hadoop and its work
  • What is HDFS and its explanation with example
  • Introduction to Map Reduce?
  • What is Map Phase?
  • What is Reduce Phase?
Topic 08: Hadoop ecosystem
  • Introduction to Hadoop ecosystem
  • How Hadoop solve problems of typical distributed system
  • What is Sqoop and its working
  • What is Qozie and its working
  • What is Pig and its working
  • What is Flume and its working
  • What is Hive and its working
  • HDFS Storage Mechanism
  • How files are Stored / Read / Written in HDFS
  • Understanding Demons
Topic 09: Hadoop installation
  • Hadoop installation
  • Introduction to Mapreduce and HDFS
Topic 10: How to develop Mapreduce Application
  • MapReduce job Execution
  • MapReduce Combiner
  • Mapreduce Partitioner
  • Shuffle & Sort Phase
  • Map Reduce in detail
  • Comparison b/w YARN and MRV1
  • Cloudera Developer Certification Overview
Topic 11: How to develop Mapreduce Application
  • Hands on Exercises on Map Reduce
  • Introduction to Mapper, Box classes and Reducer
  • Input Formats and Output Formats
  • How to filter File Inputs
  • How to work on amazon cluster

Why you need to learn Mapreduce?

  • The internals of MapReduce and HDFS and how to write MapReduce code
  • Best practices for Hadoop development, debugging, and implementation of workflows and common algorithms
  • How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other Hadoop ecosystem projects
  • Creating custom components such as Writable Comparables and InputFormats to manage complex data types
  • Writing and executing joins to link data sets in MapReduce
  • Advanced Hadoop API topics required for real-world data analysis

MapReduce Training Outline:

  • Program Name: MapReduce Training course
  • Course Duration:  35 Hours
  • Mode: Online virtual classes and corporate Training
  • Timings: According to one’s feasibility
  • Batch Type: Regular, weekends and fast track
  • Trainees will get the soft copy material.
  • Online Sessions will be conduct through WEBEX, GOTOMEETING OR SKYPE.
  • Basic Requirements: Good Internet Speed, Headset


Global Online Trainings offers top quality MapReduce Training with a unique combination of a great instructor, delivery options & a learning environment that clearly distinguishes it from other companies. Our OpenVMS Training allows theoretical concepts to be reinforced with extensive hands-on experience. The design of our MapReduce Training allows us to offer both standard & custom courses that meet our client’s needs.