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  • OVERVIEW:

     

    Hadoop Training course helps you learn the core techniques and concepts of Data and Hadoop ecosystem. It equips you with in-depth knowledge of writing codes using MapReduce framework and managing large data sets with HBase. The topics covered in this course mainly includes- Hive, Pig and setup of Hadoop Cluster.

     

    DURATION:

     

    40 hours

     

    OBJECTIVES:

     

    • Understand Big Data and Hadoop ecosystem
    • Work with Hadoop Distributed File System (HDFS)
    • Write MapReduce programs and implementing HBase
    • Write Hive and Pig scripts

     

     

    TARGET AUDIENCE:

     

    Hadoop is quickly becoming a must-know technology for the following professionals:

    • Software Developers and Architects
    • Analytics Professionals
    • Senior IT professionals
    • Testing and Mainframe professionals
    • Data Management Professionals
    • Business Intelligence Professionals
    • Project Managers
    • Aspiring Data Scientists
    • Graduates looking to build a career in Big Data Analytics

    .

     

    ELIGIBILITY:

     

    • Knowledge of Java is necessary for this course
    • Knowledge of an operating system like Linux is useful for the course
  • COURSE STRUCTURE:

     

     

    LESSON 1:  The Case for Apache Hadoop                                                                                                                                

     

    • Brief History of Hadoop

    • Core Hadoop Components

    • Fundamental Concepts

     

    LESSON 2: Hadoop Distributed File System                                                                                                                 

     

    • HDFS Features

    • HDFS Design Assumptions

    • Overview of HDFS Architecture

    • Writing and Reading Files

    • Name Node Considerations

    • An Overview of HDFS Security

    • Hands-On Exercise

     

    LESSON 3. MapReduce                                                                                                                              

     

    • What Is MapReduce?

    • Features of MapReduce

    • Basic MapReduce Concepts

    • Architectural Overview

    • MapReduce Version 2

    • Failure Recovery

    • Hands-On Exercise

     

    LESSON 4: Overview of the Hadoop Ecosystem                                                                                              

     

    • What is the Hadoop Ecosystem?

    • Integration Tools

    • Analysis Tools

    • Data Storage and Retrieval Tool

     

    LESSON 5: Planning your Hadoop Cluster                                                                                                           

     

    • General planning Considerations
    • Choosing the Right Hardware
    • Network Considerations
    • Configuring Nodes 

     

    LESSON 6: Hadoop Installation                                                                   

     

    • Deployment Types

    • Installing Hadoop

    • Using Hadoop Manager for Easy Installation

    • Basic Configuration Parameters

    • Hands-On Exercise

     

    LESSON 7: Installing and Managing Other Hadoop Projects            

     

    • Hive

    • Pig

    • HBase

     

     

    LESSON 8: Hadoop Distributed File System (HDFS)                                                                                                              

     

    • HDFS Design

    • HDFS Daemons

    • HDFS Federation

    • HDFS HA

     

  • Below mentioned training methodologies will be adopted while training:

     

    • Pre & Post Assessment
      • Objective and fair assessment of trainees post training
      • Demarcation between Theory and In class Practicals
      • Be as much interactive as possible
      • Encourage participants to share their ”burning questions” about the topic
      • Launching a poll question for participants to answer
      • Try to explain using famous models and studies
      • Incorporate Case based learning (case videos/ movies) and storytelling, if applicable
      • Integrate soft skills in the training, if applicable
      • Motivate learners to apply concepts from domain subjects in a real world situation
      • Practical Home work
      • Provision of skill Certification information to trainees, wherever applied and required
      • Encourage regular trainee interaction during , in-between and after the course
      • Aim to design a module that engages participants every 4 minutes
      • Encourage participants to use platform tools like Poll, Chat, Raise Hand, Screen Sharing etc.
      • Provision of learning/ reference material to the trainees
      • Regular post session response to the trainees
      • Record of participation and Certificate of achievement issued by EduSmart Skills
  • Frequently Asked Questions about Hadoop Admin- for beginners

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  • EDUSMART SKILLS CERTIFICATION

     

    The entire training course content is in line with respective certification program and helps you clear the requisite exams with ease and get the best jobs in the top MNCs.

    As part of this training you will be working on the assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

    During the program there will be assessments that perfectly reflect the type of questions asked in the exams and helps you score better.

    EduSmart Skills Course Completion certificate will be awarded on the completion of course.

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