MapReduce Online Training

MapReduce Online Training

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    Introduction

    Keen Technologies 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.

    Course Content

    1. Basic Concept Of OOPS

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

    2. 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

    3. What Is Java Inheritance

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

    4. What Is Overloading & Overriding

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

    5. 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

    6. Mapreduce Programming

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

    7. 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?

    8. 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

    9. Hadoop Installation

    • Hadoop installation
    • Introduction to Mapreduce and HDFS

    10. 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

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    PRIVATE COURSE
    • PRIVATE
    • 4 weeks, 2 days

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    Course Features

    Live Instructor-led Classes

    This isn't canned learning. Its dynamic, its interactive, its effective

    Expert Educators

    Only the best or they're out. We are constantly evaluating our trainers

    24&7 Support

    We never sleep. Need something answered at 3 am? No Problem

    Flexible Schedule

    You don't learn as per our calendar. We work according to yours.

    Customized Training's

    The most part self-managed and adaptable to suit a person's particular adapting technology needs

    Priority Based Training's

    Real-time Scenario based Assignments and Case Studies

    Disclaimer

    This web site or keentechnologies.com team is not associated with SAP AG or any other product. We are providing this service absolutely for Education and Training purpose only. We charge for the support services only, not for the actual SAP System access. All SAP Systems operate under INITIAL evaluation license. All trademarks mentioned on this web site belongs to their owners. We do not share or distribute ANY personal information we collect on this web site. For any additional information

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