Hadoop training is an affordable course that is designed by working on Hadoop. It is a flourishing discipline in the framework world. Hadoop is written in the Java programming language and simple programming model. Hadoop is open sources software as well as framework software for easily writing applications which process vast amounts of dada in parallel on large clusters of product hardware in a reliable, fault tolerant manner. The framework sorts the outputs of the Hadoop, which are then input to the reduce task. Both task i.e. input and output tasks are stored in a file system. Hadoop is the one of the enables a computing solutions i.e. Scalable, Cost effective, flexible, Fault Tolerant and so on.For the future path, you should have superior programme that offers you paramount Hadoop Training. This particular area has bright prospects that can build your confidence and career.

Our Training Process

Our Hadoop experts will deliver you best knowledge through our training. There are sessions that cover several, which guide you to framework, reduce the tasks. This program would make the candidate eligible for handling the open sources software, framework software; reduce the tasks etc., very efficiently. Unique and innovative techniques are taught to students. We provide Hadoop training only on weekends, working professionals can easily attend this training.

Whys Prefer Us

This is one of the flourishing fields for the research and production. We as a Hadoop can offer you best training that would assist you in long run. Our experts carve best quality a professional requires in top level companies. Interested Optimizers are gratified with better opportunities.

Who Should Attend?

IT Software professionals those can attend Hadoop training are listed as below:

  • Analytics Professionals
  • IT Professionals
  • Software Testing Professionals
  • Mainframe Professionals
  • Software Developers & Architects
  • Graduates who are willing to build a career in Hadoop

Key Features

  • 100% Job Assistance
  • Interactive sessions by industry experts trainer
  • Qualified & certified trainers who have hands-on experience on Hadoop.
  • Limited batch sizes.
  • Personalized attention to each & every candidate during the training sessions.
  • Live Projects for practice to provide you hands-on for your understanding
  • Weekend batches as per your suitability of candidate.

Topics Covered

Hadoop course Content

  • The Motivation for Hadoop
  • Problems with traditional large-scale systems
  • Requirements for a new approach
  • Hadoop: Basic Concepts
  • What is Hadoop?
  • The Hadoop Distributed File System
  • Hadoop Map Reduce Works
  • Anatomy of a Hadoop Cluster
  • Hadoop demons
  • Master Daemons
  • Name node
  • Job Tracker
  • Secondary name node
  • Slave Daemons
  • Job tracker
  • Task tracker

HDFS (Hadoop Distributed File System)

  • Blocks and Splits
  • Input Splits
  • HDFS Splits
  • Data Replication

Hadoop Administration:

  • Setup Hadoop cluster (Apache & Cloudera)
  • Pseudo-distributed Mode
  • Make a fully distributed Hadoop cluster on a single laptop/desktop
  • Install and configure Apache Hadoop on a multi node cluster in lab
  • Install and configure Cloudera Hadoop distribution in fully distributed mode
  • Monitoring the cluster
  • Getting used to management console of Cloudera
  • Name Node in Safe mode
  • Meta Data Backup
  • Ganglia and Nagios – Cluster monitoring

Hadoop Development:

Writing a MapReduce Program

  • Examining a Sample MapReduce Program
  • With several examples
  • Basic API Concepts
  • The Driver Code
  • The Mapper
  • The Reducer
  • Hadoop’s Streaming API

Debugging MapReduce Programs

  • Testing with MRUnit
  • Logging
  • Other Debugging Strategies.

Advanced MapReduce Programming

  • The Secondary Sort
  • Customized Input Formats and Output Formats
  • Joins in MapReduce

Performing several Hadoop jobs

  • The configure and close Methods
  • Sequence Files
  • Record Reader
  • Record Writer
  • Role of Reporter
  • Output Collector
  • Counters
  • Directly Accessing HDFS
  • ToolRunner
  • Using The Distributed Cache

Hadoop Analyst


  • Hive concepts
  • Hive architecture
  • Install and configure hive on cluster
  • Different type of tables in hive
  • Hive library functions
  • Buckets
  • Partitions
  • Joins in hive
  • Inner joins & Outer Joins
  • Hive UDF


  • Pig basics
  • Install and configure PIG on a cluster
  • PIG Library functions
  • Pig Vs Hive
  • Write sample Pig Latin scripts
  • Modes of running PIG
  • Running in Grunt shell
  • Running as Java program
  • PIG UDFs
  • Pig Macros
  • Debugging PIG


  • HBase concepts
  • HBase architecture
  • HBase basics
  • Region server architecture
  • File storage architecture
  • Column access
  • Scans
  • Install and configure HBase on a multi node cluster
  • Create database, Develop and run sample applications
  • Access data stored in HBase using clients like Java, Python and Pearl
  • Map Reduce client to access the HBase data
  • HBase admin tasks


  • Install and configure Sqoop on cluster
  • Connecting to RDBMS
  • Installing MySQL
  • Import data from Oracle/MySQL to hive
  • Export data to Oracle/MySQL
  • Internal mechanism of import/export


  • Oozie architecture
  • XML file specifications
  • Install and configuring Oozie and Apache
  • Specifying Work flow
  • Action nodes
  • Control nodes
  • Oozie job coordinator


CDH4 Enhancements:

  • Name Node High – Availability
  • Name Node federation
  • Fencing
  • MapReduce Version – 2


I have completed my Hadoop training from Optimized Infotech. Interactive session during course sessions. Overall Great Experience!

– Swati Supe

If you want to learn real time examples along with clearing the theoretical concepts; go for ‘Hadoop training’ at Optimized Infotech. Offers all facilities which a candidate need during sessions.

– Mukesh Kumar

The interactive atmosphere and live examples during sessions had made me understand doubts clear. The trainer had the lot of experience to understand our concepts.

– Rajneesh Varma

Great learning experience with Optimized Infotech! Interactive Sessions, qualified trainer, real time projects for study, brainstorming on many ideas and much more.

– Umakant Kadam

Excellent training provided by Optimized Infotech while learning Hadoop.

– Ashwini Hirde


  1. What is Hadoop?

Hadoop is open source framework which provides unlimited storage for distributed file system for big data.

  1. Who should go Hadoop training program?

Candidates who have knowledge on Java, basic UNIX and basic SQL database

  1. What is the duration of the courses?

8 Weekends | 2-3 Hrs. (Sat-Sun)

  1. Can I get Job assistance after I complete the Hadoop course?

Yes! We do offer 100% Job Assistance after completing course.

  1. Why should I choose Optimized Infotech for Hadoop Classes in Pune?
  • 100% Job Assistance
  • Interactive sessions
  • Qualified & certified trainers.
  • Limited batch sizes.
  • Personalized attention
  • Live Projects for practice
  • Weekend batches
  1. How can I enroll to Hadoop course?

After completing inquiry for Hadoop course you can enroll yourself by registering manually. Our consultant will guide you for enrolling process.

  1. Do you offer flexible timing for batches?

Yes! We organize a weekend for hadoop training sessions as per requirement.