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.


Watch the demo class

Why should you take Comprehensive MapReduce 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.
7999
EMI Option availableGive us a call at +91 98702 76459

Edureka For Business

Train your employees with exclusive batches and offers and track your employee's progress with our weekly progress report.

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).

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.
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
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.
You no longer need a credit history or a credit card to purchase this course. Using ZestMoney, we allow you to complete your payment with a EMI plan that best suits you. It's a simple 3 step procedure:
  • Fill your profile: Complete your profile with Aadhaar, PAN and employment details.
  • Verify your account: Get your account verified using netbanking, ekyc or uploading documents
  • Activate your loan: Setup automatic repayment using NACH to activate your loan
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.
user
user

Comprehensive MapReduce Certification Training