MapReduce Training

MapReduce Training
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234 Ratings
311 Learners
30 Hours
15 Hours
Big Data
365 Days
24 / 7 Support
Online Classroom
Attend our Instructor Led Online Virtual Classroom
USD 530 USD 330Enroll now
One to One Training
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USD 730 USD 530Enroll now

About Course

MapReduce generates and processes big data on a cluster of computers using a parallel, distributed algorithm, providing for fault tolerance. If Hadoop is the nervous system connecting many different servers together, then MapReduce is the brain generating and processing information into meaningful data. It works through two basic procedures: mapping and reducing. First it maps the data, filtering and sorting it, breaking it down into key/value pairs. Then, the Reduce operation takes this data and carries out a summary, combining the pairs into smaller ones and, in the process, rendering the information more meaningful. In between these two operations, MapReduce carries out a shuffle operation that redistributes all data belonging to a key to the same node as the key. Thus network communication is dramatically reduced and, with it, the cost of operation.

The main objective of MapReduce online training program is to teach participants how to write MapReduce programs, moving from simple to complex programs by degrees and with plenty of examples. It begins with the MapReduce installation and configuration process and moves on to theory & practice. Describing the data flow of the Mapper input and Reducer output processing, it provides the big picture regarding the concepts involved in MapReduce. It talks about how the program manages servers and how to interact with the MapReduce API. It shows how to manage jobs with the Hadoop CLI and monitor them with MCS. It discusses how to work with different data sources on MapReduce and the distributed cache. It also includes the techniques involved in running multiple jobs and chaining.

It is recommended that the participants have some, rudimentary proficiency in Core Java and SQL. However, there are no formal prerequisites for the course and anyone may register for MapReduce online training program.

As the number of organizations trying to harness the power of big-data processing multiplies, IT departments are finding out that their mainframes, designed for structured data, are not able to handle the flood of unstructured data. This fact is prompting a shift to up-to-date platforms that can handle enterprise workloads, which is where MapReduce and Hadoop come in. MapReduce and Hadoop offer IT departments the ability to handle unlimited concurrent tasks and enormous processing power with efficiency and stability. These are the tools that are necessary for crunching high volumes of unstructured data. Thus, developers, data architects, database administrators, and data analysts, in particular, have much to gain by mastering MapReduce. The average salary of Hadoop developers working in the big data industry has been reported as $135,000. Take advantage of this global shift to big data and enroll in MapReduce online training program today.

MapReduce Syllabus

Introduction to Map Reduce

  • Map Reduce Overview
  • Map Operation
  • Job Submissions
  • Job Initialization
  • Task Assignment
  • Job Completion
  • Job Scheduling
  • Job Failures
  • Shuffle and sort
  • Word Count Problem
  • Word Count Flow and Solution
  • Word Count Flow and Solution
  • Algorithms
  • Setting up Eclipse Development Environment, Creating Map Reduce Projects, Debugging and Unit Testing
  • Developing a map reduce algorighm on real world scenario

Advance Map Reduce Concepts

  • Counters
  • Sorting
  • Joins - Map Side and Reduce Side
  • Side Data Distribution
  • MapReduce Combiner
  • MapReduce Partitioner
  • MapReduce Distributed Cache

Map Reduce Types and Formats

  • Data Types
  • File Formats
  • Input Formats
  • Output Formats
  • Explain the Driver, Mapper and Reducer code
  • Configuring development environment - Eclipse
  • Writing Unit Test
  • Running locally
  • Running on Cluster

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
31 Jan 2020 28 Feb 2020 (08:30 PM - 11:00 PM) Fri,Sat
01 Feb 2020 29 Feb 2020 (08:30 AM - 11:00 AM) Sat,Sun

MapReduce Certification

At end of our course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from GangBoard) will verify and issue MapReduce Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.


Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

Basic Hard ware requirement is useful to install the MapReduce.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91-9791273737 / +91-9791237373. Or you can share your quires through Estimated turnaround time will be 24 hours for emails.

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