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Hadoop Developer Training


Duration: 3 Days


Gartner predicts that 4.4 Million Jobs will be created globally to support BigData. BigData is a popular term used to describe the exponential growth, availability and use of information, both structured and unstructured. It is imperative that organizations and IT leaders focus on the ever-increasing volume, variety and velocity of information that forms BigData. Hadoop is the core platform for structuring BigData and solves the problem of making it useful for Analytics. Our course will teach all there is to learn about using Hadoop for BigData analysis and gives you a clear understanding about processing BigData with Hadoop.

Why learn about Processing BigData with Hadoop?

  • Businesses are now aware of the large volumes of data that they generate in their day to day transactions. They have also realized that this BigData can provide very valuable insights once analyzed
  • The massive volume of BigData and its unstructured format make it difficult to analyze BigData. 
...Read more


  • This training is a beginners course on Hadoop. It covers setting up a Hadoop instance, cluster and installing Hadoop related projects. Development of MapReduce 1 and YARN applications. And an overview of Pig, Hive and HBase Projects.

Who should attend

  • A developer who wants to learn Hadoop but you don’t know where to start


  •  A team that is struggling to extract insights from large scale and fast growing data in traditional systems


  • A team that has decided to migrate from a RDBMS or a traditional data warehouse to Hadoop, but needs help getting started


  • Basics of Java and Linux fundamentals

Course Outline


  • Understanding the Big Data Paradigm
  • Introduction to Apache Hadoop
  • Hadoop Architecture
  • Understanding the Hadoop Runtime Environment
  • Installing Hadoop
    • Exercise: Installing Hadoop using Scripts
  • Introduction to HDFS
    • Exercise: Setting up HDFS and adding Files to HDFS
    • Exercise: Hadoop FSShell commands
  • HDFS Internals
    • Exercise: Writing a HDFS Application in Java to read and write data


  • MapReduce fundamentals – Anatomy of a job, task. Handling Failures
    • Exercise: Writing your first MapReduce
  • MapReduce revisited
    • Exercise: Simple log analysis using MapReduce
  • Advanced MapReduce – Combiners and Partitioners, Scheduling, Failure
    • Exercise: Inverted Index MapReduce application using Combiners and Partitioners
  • MapReduce more concepts – Composite keys, comparators, Input/Output Formats, Sorting, Joins
  • Introduction to YARN
    • YARN Architecture – Resource Managers, Node Managers, Application Masters
    • Exercise: Yarn Application
  • Streaming Mapreduce


  • Exercise: Setting up a Hadoop Cluster using Vagrant, VirtualBox, Shell
  • Introduction to other Hadoop Projects
  • Sqoop, Hive, Pig, HBase, Oozie, Zookeeper
  • Exercise: Installing Hive
  • Exercise: Working with Hive
  • Exercise: Installing Pig
  • Exercise: Working with Pig

About The Trainer

Dr. Yash Mody

Hadoop, Big Data Solution Specialist, Adobe AEM Architect

Dr. Yyash-modyash Mody, PhD, has developed and architected several enterprise applications using platforms like Hadoop, Oracle ADF, SalesForce, IBM Websphere, Quartz, SAP, Adobe AEM, Adobe LiveCycle, Apache Flex, TIBCO etc. At CloudThat, he works with our customers like PwC, Fidelity, Western Union, GE, HP, Oracle, Mahindra Bristlecone, Flipkart, Aditi, Sonata etc. to help them understand various big data technologies and design solutions for modern usecases like social media analytics, web analytics etc.

Over the years, Yash has trained over 1500 developers and architects from over 30 organisations.


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Other Details



For latest batch dates, fees, location and general inquiries, contact our sales team at: +91 8880002200 or email at

For purely technical queries about the course please contact Bhavesh at

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