$600 – $1,500

MapReduce Training | Big Data MapReduce training | Hadoop MapReduce trainin...

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Instructor led Online | Video Conference

Phoenix, AZ

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No Refunds

Event description

Description

MapReduce Training helps you to learn implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. The framework takes care of scheduling tasks, monitoring them and re-executing any failed tasks.


Why This Course?

  • Avg. Salary for MapReduce Developer: $1,03,572 Per year
  • Used by top industries across various business Verticals. Ex: Yahoo! Inc., American Express, ComScore, Google etc.


­­Video Conference Details

Will be sent to you once you register and make the payment


Next class starting

October 4, 2017


Training Session Details

There will be total of 30 hours instruction taught over 5 weeks, monday through friday, each session being of 1 to 1.5 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises.


Why MapReduce Training from Omni212 ?

  1. Our MapReduce trainers are very hands on and working as MapReduce developers in top notch software companies
  2. They have more than 1000 hours of product implementation and instruction experience


What are the objectives and learning outcomes of this course?

MapReduce course curriculum deal with the concepts of implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. The framework takes care of scheduling tasks, monitoring them and re-executing any failed tasks. The course incorporates the below key business concepts.

  • Basic concept of OOPS
  • Creation of Project, Class, Package
  • Map-Reducing in Java Inheritance
  • Method of overloading and Overriding
  • Basic concepts of abstraction
  • Programming in MapReduce
  • Developing MapReduce Application

The training explores each topic through the lens of a real-world example application. With plenty of examples, tips, and clear explanations, you’ll master many advanced aspects of MapReduce.


Who should take this course?

As such there are no prerequisites for learning MapReduce. However, with a number of opportunities in the field, the following job roles will get benefited from this course:

  • Big Data Analysts
  • Software Professionals
  • ETL developers
  • Testing Professionals
  • Java Developers
  • Aspirants aiming for a career in the prospective field.


What projects are included in this course?

An in-depth knowledge of a MapReduce project ensures all the critical components are well-covered. With this knowledge, you can increase your visibility and enhance your efficiency in drawing real connections among different components of MapReduce. We will also provide the complete material covering all the aspects of this project.


Course Content


Basic Concept Of OOPS

  • Object
  • Class
  • Attributes
  • Inheritance
  • Aspects of Java

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

What Is Java Inheritance

  • Sub-class & super Class
  • Map-Reducing in Inheritance

What Is Overloading & Overriding

  • What is the method of overloading
  • overloading modify
  • Difference between overloading & overriding
  • Method of overriding

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

Mapreduce Programming

  • Word count example
  • Exception
  • Tool runner
  • Mapper
  • Map method
  • Sum reducer

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?

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

Hadoop Installation

  • Hadoop installation
  • Introduction to Mapreduce and HDFS

How To Develop Mapreduce Application

  • MapReduce job Execution
  • MapReduce Combiner
  • MapreducePartitioner
  • Shuffle & Sort Phase
  • Map Reduce in detail
  • Comparison b/w YARN and MRV1
  • Cloudera Developer Certification Overview
  • 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


Class Size: Maximum 22


Price: $650


Omni212 is a Geekwire top 200 startup in the seattle area - http://www.geekwire.com/geekwire-200/


REFUND POLICY

1. There are no refunds.
2. If for any reason the course has not been taken, student is dissatisfied with the course, class is rescheduled or cancelled, the payment can be applied towards any future course by Omni212.


Omni212 Training Website

https://www.omni212.com/services/training/


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Date and Time

Location

Instructor led Online | Video Conference

Phoenix, AZ

View Map

Refund Policy

No Refunds

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