MapReduce Online Training | MapReduce Certification Course | Edureka

Comprehensive MapReduce Certification Training

A self-paced course designed by Hadoop Experts to provide the knowledge and skills in the field of MapReduce Framework and help you to solve the use cases by using MapReduce concepts.


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Why this course ?

  • MapReduce originally referred to the proprietary Google technology
  • Companies like Twitter, LinkedIn, AOL, EBay and Alibaba use MapReduce
  • The average pay stands at $61,346 per year - Indeed.com
  • 2K + satisfied learners. Reviews

Online self - paced learning

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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Course Duration

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Towards the end of the Course, you will work on a real life case study.

Assignments

Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

Certification

Edureka certifies you as a MapReduce Expert based on the project reviewed by our expert panel.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
MapReduce is the underlying engine of Hadoop. The self-paced Comprehensive MapReduce course is designed for the learners to understand and implement various frameworks of MapReduce. The topics are explained using dedicated examples.

After completion of the Comprehensive MapReduce course, you will be able to:

1. Master the concepts of MapReduce framework

2. Learn to write Complex MapReduce programs

3. Program in YARN

4. Program in MapReduce

This course is designed for professionals aspiring to make a career in Big Data Analytics using MapReduce Framework. Software Professionals, Java Developers, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a good understanding of MapReduce Framework can also opt for this course.

Some of the prerequisites for learning MapReduce include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in MapReduce.

Today, when data is mushrooming and coming in heterogeneous forms, there is a growing need for a flexible, adaptable, efficient and cost effective data analytics which will take minimum on-boarding time. Hadoop fits just perfect in this space and MapReduce being the underlying engine for Hadoop needs to be well understood.

Learning Objectives - In this module, you will understand Hadoop MapReduce framework and the working of MapReduce on data stored in HDFS. You will learn about YARN concepts in MapReduce.

Topics - MapReduce Use Cases, Traditional way Vs MapReduce way, Why MapReduce, Hadoop 2.x MapReduce Architecture, Hadoop 2.x MapReduce Components, YARN MR Application Execution Flow, YARN Workflow, Anatomy of MapReduce Program, Demo on MapReduce.

Learning Objectives - In this module, you will understand concepts like Input Splits in MapReduce, Combiner & Partitioner and Demos on MapReduce using different data sets.

Topics - Input Splits in MapReduce, Combiner, Partitioner, Demos on MapReduce.

Learning Objectives - In this module, you will learn Advance MapReduce concepts such as Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format and how to deal with complex MapReduce programs.

Topics - Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format.

. Call a Course Adviser for discussing Curriculum Details . 1844 230 6365
For your practical work, you will setup Edureka's Virtual Machine in your System. This will be a local access for you. The required installation guide is present in LMS.

Towards the end of the Course, you will be working on a live project where you will be using PIG to perform Big Data analytics. Here are the few Industry-wise Big Data case studies that you will work on: 

Project #1: Analysing Aadhar Card Data 

Industry: Government Sector 

Data: The data set consists of the following fields: State:This field consists of the state names from all over India City:This field consists of city names in all states Approved:This field consists of the total count of approved cards in numbers Rejected:This field consists of the total count of rejected cards in numbers 

Problem Statement: Below are few of the problem statements that we have chosen to work on this data set: 1.Find out the total number of cards approved by states. 2.Find out the total number of cards rejected by states. 3.Find out the total number of cards approved by cities. 4.Find out the total number of cards rejected by cities. 

Project #2: Analysis of Afghan War Diaries 

Industry: Government Sector 

Data: The data was written by soldiers and intelligence officers of the United States Military. To keep it simple, we will analyse only four of the available columns (Type, Category, Region and Attack On) in the data set.

Problem Statement: Below are few of the problem statement that we have chosen to work on this data set: 1.To examine all the events that involve explosive hazards. 2.To examine explosive events that involves Improvised Explosive Devices (IEDs).

We do provide placement assistance by routing relevant job opportunities to you as and when they come up. To get notified on relevant opportunities, it is important that you fill out your profile details.

It is important to attend classes and complete assignments. Course completion is an important criterion based on which we screen profiles of learners interested in a particular job. Also, before your profile is shared with prospective employers, you will have to go through an internal assessment by edureka. So it is important to be well versed with the course concepts to become eligible for placement opportunities.
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience.
Just give us a CALL at +91 88808 62004 OR email at sales@edureka.co.US Toll free number is 1800 275 9730.
Towards the end of the course, you will be working on a project. Edureka certifies you as a Certified Comprehensive Pig Expert based on the project reviewed by our expert panel.

Comprehensive MapReduce Certification Training