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HADOOP professionals are the one that works on Big Data. HADOOP is an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. Become familiar with Hadoop Development Tools: The Hadoop developer Training boosts the level of seniority the person has, his skills & mastery in the Hadoop technology. Hadoop Developer Certification helps the holder to get into prestigious jobs in the USA. At the end of training, you gain knowledge on MapReduce, Hadoop Architecture, Pig & Hive, Oozie, Flume and Apache workflow scheduler which imparts new opportunities. Having basic familiarity with SQL and Linux commands? then learn the course easily.

Module List

  • HDFS (Hadoop Distributed File System)
  • HADOOP Developer Tasks
  • BHADOOP Administrative Tasks
  • H Base Architecture
  • SQOP Architecture
  • Mini Project / POC (Proof of Concept)


    • What is Hadoop?
    • Why you need Hadoop?
    • Advantage of Hadoop over Traditional Systems
    • Solutions from Hadoop

    • Basic Elements of a Hadoop Project
    • Components of Hadoop System
    • What is HDFS (Hadoop Distributed File System)?
    • What is need for HDFS?

    • What is MapReduce?
    • How MapReduce is used in Hadoop?
    • What are Mappers?
    • What are Reducers?

    • Introduction to Hadoop Clusters
    • How Hadoop Clusters runs Hadoop Software?

    • What is Hadoop Ecosystem?
    • Hadoop Jobs
    • Hadoop Tasks
    • Other components of Hadoop Ecosystem

    • Java MapReduce API
    • Java MapReduce Drivers
    • Java Mappers
    • Java Reducers
    • Using Eclipse IDE (Integrated Development Environment)

    • What is Unit Testing?
    • JUnit Testing Framework
    • MRUnit Testing Framework
    • Writing MapReduce Unit Tests with JUnit
    • Writing MapReduce Unit Tests with MRUnit
    • How to run Unit Tests?

    • What is ToolRunner Class?
    • How to use ToolRunner Class?
    • How to Use Combiners?
    • Using code to access HDFS (Hadoop Distributed File System)
    • Hadoop Partitioners, Mappers and Reducers API Library

    • How to debug MapReduce Code?
    • LocalJobRunner
    • Working with Log Files
    • How to retrieve job info using Counters?
    • Objects reusability

    • Implementing Writable
    • Implementing WritableComparable
    • SEquenceFile
    • Avro Data File
    • File Compression Issues
    • Customized InputFormats
    • Customized OutputFormats

    • Sorting Huge Data Sets
    • Searching Huge Data Sets
    • Data Indexing
    • What is Term Frequency?
    • What is Inverse Document Frequency?

    • How to integrate Hadoop into already existing enterprise?
    • What is Sqoop?
    • How to load RDBMS data into HDFS?
    • Using FuseDFS & HttpFS to access HDFS

Training Advantages
35 contact hours
Industry Case Studies
Industry case studies
Real time training


    • Highly interactive online and classroom sessions from experts
    • Queries are solved immediately
    • 24/7 post-class support to help resolve job challenges
    • Very relevant exercises and case studies
    • Extensive assistance in resume building, job search and interview preparation

    This training program will help you setup and learn Hadoop and mapReduce programming to a level that you can confidently appear for CCD certification exam.

    IT is a versatile field with ever-changing technology. You should keep yourself abreast with the new happenings and gear up to open up newer horizons. Hadoop Developer training course will help you learn the complex technology through interactive sessions and fetch you good knowledge, certification and better salary. Brighten your career opportunities with Hadoop Developer training.

    The course covers a number of Big Data products including Apache Hadoop, MapReduce, Hadoop Distributed File System (HDFS), HBase, Hive and Pig. Additional parts of the Hadoop ecosystem such as Sqoop, MRUnit and Apache Spark will also be covered. Other datastores will also be mentioned for comparison.