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Comprehensive MapReduce Rated 4.0/5 based on 432 customer reviews

Comprehensive MapReduce Training in Dallas-TX, United States

Learn about Hadoop, its use in parallel data processing, and advanced features of MapReduce and YARN

  • 30 hours of Instructor-led sessions
  • Beginner to Advanced level
  • Hands-on training
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Modes of Delivery

Key Features

30 hours of Instructor-led training classes
Immersive hands-on learning sessions
Master the core concepts and advanced features of MapReduce
Learn about Hadoop and its use in parallel data processing
Learn to write MapReduce programmes to analyse Big data and bring in business benefits to the organization
Our Comprehensive MapReduce experts will guide students in implementing the technology for future projects


MapReduce training

Zeolearn academy brings a comprehensive MapReduce course that will introduce you to distributed data processing and using MapReduce to process large amounts of data. With more focus on practical and hands-on exercises, the workshop will teach you to write complex MapReduce programs and program in YARN. Understanding the advanced features of MapReduce will help you use it to give logical insights for business benefits.

The emergence of Big Data has alleviated the need for large scale parallel processing of data. MapReduce is a software framework that helps perform this processing in a scalable and fault tolerant manner. Developed by Google, MapReduce is already powering the web searches of top companies such as Yahoo. Being a MapReduce programmer can greatly enhance your career prospects. By enrolling into this course, you will develop your knowledge and skills in the MapReduce framework and the  MapReduce certification that you receive upon successful completion of course proves your ability to the employers. We also offer free reference materials to the registered candidates at our institute.

Here’s what you will learn from our coaching!

  • About Hadoop and its use in parallel data processing
  • To write MapReduce programs to analyse Big data and bring in business benefits to the organization
  • The advanced features of MapReduce and YARN

Is this course right for you?

This MapReduce online course is apt for Software Professionals, Java Developers, Analytics Professionals, ETL developers, Project Managers, Testing and other professionals who are keen to pursue a career in Big Data analytics.


Participants need to have hands-on experience in Core Java and good analytical skills to grasp the concepts explained in this course.


  • Hadoop vs RDBMS
  • Core components of Hadoop
  • Hadoop Distributed File System
  • HDFS Architecture and MapReduce
  • MapReduce in Hadoop
  • History of MapReduce
  • MapReduce applications
  • Data Flow in MapReduce
  • Map and Reduce operations
  • Job submission flow of MapReduce
  • Data Flow in MapReduce
  • MapReduce example
  • MapReduce Daemons
  • Job tracker
  • Task Tracker
  • Other phases in MapReduce
  • Data Flow in single, multiple and no reduce task
  • Hadoop 1.x architecture
  • Problem with Hadoop 1.x, Hadoop 2.x features,
  • YARN MR Application Execution Flow
  • YARN Workflow
  • Anatomy of MapReduce Program
  • Input Splits in MapReduce
  • Combiner
  • Partitioner
  • Demos on MapReduce
  • Counters
  • Distributed Cache
  • MRunit
  • Reduce Join
  • Custom Input Format
  • Sequence Input Format

Frequently Asked Questions

MapReduce is a simple programming model for large-scale data processing. This programming paradigm that is the heart of Hadoop allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. This helps execute processes in a distributed manner while offering high availability. Its simplicity, scalability, speed, and fault tolerant characteristics have made it extremely popular and a career in this tool would be very lucrative.

We understand the importance of a MapReduce certification and hence bring you a full-fledged MapReduce course that has been designed to give you maximum learning. With plenty of demo and practice sessions, you would have mastered MapReduce programming by the end of the workshop. Zeolearn academy is also known for its excellent infrastructure and support materials in the form of courseware and glossary. Enrol now and ensure maximum learning.

On completing the course, you will learn about:

  • Analyse large data sets using Hadoop MapReduce
  • Make sense of unstructured data
  • Master the core concepts of MapReduce
  • Learn to write complex MapReduce programs
  • Learn to write programs in Yarn
  • Master the MapReduce programming and extract patterns from big data

Zeolearn brings you online mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Big Data such as Hadoop Administration and Apache Spark and Scala, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive MapReduce certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will write your own MapReduce program and implement it with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

This course is apt for Software Professionals, Java Developers, Analytics Professionals, ETL developers, Project Managers, Testing and other professionals who are keen to pursue a career in Big Data analytics.

Comprehensive MapReduce Course in Dallas-TX

Comprehensive MapReduce 

The relevance of Big Data today has increased by many folds in the information technology sector. It is described as a collection of large databases and requires more than the traditional computing techniques to analyze the data. MapReduce due to its analytical capabilities scores ahead in such a scenario. It is described as a framework that aids in writing applications to process huge amounts of data. To be precise, it is a programming paradigm that runs in the background to provide simpler data processing solutions. For professionals aspiring for a career in big data analytics, a comprehensive MapReduce training is the need of the hour. There are many coaching centres offering MapReduce training in Dallas to prepare for a challenging career ahead.  

The Zeolearn Training Module? 

The Zeolearn Academy provides a comprehensive MapReduce course in Dallas focusing on the basics and the advanced concepts. Hands on experience in core java with good analytical skills are an essential prerequisite of the course. Delivery type of the course is online which includes both weekday and weekend sessions. The participants are given the leverage of choosing either of the two. One of the important features of the MapReduce training in Dallas is they provide intensive 30 hours of Tutor-led training classes. Apart from this, the institute conducts practice sessions to provide a hands-on learning experience. The cost of Zeolearn’s MapReduce course in Dallas ranges somewhere between USD 1499 to USD 1699. 

Accomplishments of the Training 

At the end of the MapReduce certification in Dallas, the participants are equipped with in-depth knowledge of Hadoop and its application. The participants also learn to analyze big data using MapReduce programs. Zeolearn’s MapReduce classes in Dallas help understand unstructured data and write programs in Yarn. Further upon completion of the course, the students are required to take up live projects to implement the concepts learnt and also for practical exposure.

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