Best Big Data hadoop Training in Bangalore

People Technologies Services

People Technologies provide Big Data hadoop Training in Bangalore, Chennai, Delhi(NCR), Mumbai, Lucknow 24*7*365. Having trouble for interview preparation? Don't worry ! Our trainers is avaiable for 24hours wordlwide.


  • Classroom Batch Training
  • Online Training
  • One To One Training
  • Customized Training

Big Data hadoop Training Course BASIC INFORMATION

People Technologies runnning Big Data hadoop Training in Bangalore, Chennai, Delhi(NCR), Mumbai, Lucknow and other country in more than 10+ branches with highly experienced trainers. Here are the basic information.


  • 45+ Hours Course Duration
  • Industry Expert Trainers
  • 100% Job Oriented Training
  • Free Demo Class Available
  • Certification Guidance
  • Interview Preparation
  • Personality Development

Best Big Data hadoop Training Course in Bangalore

In this Big Data hadoop Course, People Technologies covers all the major concepts of Big Data hadoop – in detail, and in depth – practically. People Technologies is available in India and Dubai, Austrlia, Canada. Our Current classes are running for Big Data hadoop Training in Bangalore, Chennai, Delhi(NCR), Mumbai, Dubai. This Big Data hadoop Course module will give you hands on experience and confidance to write program and logic for project.

You are worried! and thinking of starting a career in IT? Love to play with Computers and Mobile Phones, and thinking of making IT a career choice? Would you like to develop new web application, products and services and want to become Entrepreneur and become a part of tech future? Come and join us, People Technologies is ready to take you in tech world. We will stand up with you from first day to till last day. Every year we are running People Technologies Alumni Program to meet our placed participants and IT industry lead. After college you are worried about your IT career because many people are moving to IT for good growth and long term job prospects with great salaries. People Technologies is best training institute in Bangalore, Chennai, Mumbai, Delhi(NCR), Lucknow, Dubai, Singapore, Australia.

People Technologies is the best Training Institute offers certification oriented Big Data hadoop Training in Bangalore, Big Data hadoop Training in Chennai, Big Data hadoop Training in Mumbai, Big Data hadoop Training in Delhi(NCR), Big Data hadoop Training in Lucknow. We will make you eligible to clear all type of interviews at end of our sessions. Our team of Big Data hadoop trainers and participants are making team for their future help and assistance in subject by 24*7*365. Our Big Data hadoop trainers is available for your support across country in different time zone. Our training module and course material will be focused on assisting in placements as well. People Technologies has seprate HR team professionals who will take care of all your interview needs. Our Big Data hadoop Training in Bangalore course Fees is very less compared to others.

Big Data hadoop Syllabus

  • Chapter - 01 Big Data

    • Introduction to Big Data
    • Dimensions of Big Data
    • Big Data in Advertising
    • Big Data in Banking
    • Big Data in Telecom
    • Big Data in eCommerce
    • Big Data in Healthcare
    • Big Data in Defense
    • Processing options of Big Data
    • Hadoop as an option
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

  • Chapter - 02 Hadoop

    • What is Hadoop
    • How Hadoop 1.0 Works
    • How Hadoop 2.0 Works
    • HDFS
    • MapReduce
    • What is YARN
    • How YARN Works
    • Advantages of YARN
    • How Hadoop has an edge
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

  • Chapter - 03 Hadoop Ecosystem

    • Sqoop
    • Oozie
    • Pig
    • Hive
    • Flume
    Theory (00:45 to 01:00 Hrs)|Practical (00:45 to 01:00 Hrs)
    Total (01:30 to 02:00 Hrs)

  • Chapter - 04 HDFS (Hadoop Distributed File System)

    • Working with HDFS
    • Setting up VM Hadoop Environment
    • Installing VMware Player
    • Setting up the Virtual Environment
    Theory (00:30 to 00:45 Hrs)|Practical (00:30 to 00:45 Hrs)
    Total (01:00 to 01:30 Hrs)

  • Chapter - 05 Writing a MapReduce Program

    • Examining a Sample MapReduce Program With several examples
    • Basic API Concepts
    • The Driver Code
    • The Mapper
    • The Reducer
    Theory (00:45 to 01:00 Hrs)|Practical (00:45 to 01:00 Hrs)
    Total (01:30 to 02:00 Hrs)

  • Chapter - 06 Pig

    • What is Pig?
    • How Pig works?
    • Simple processing using Pig
    • Advanced processing using Pig
    • Implementation Signature
    • Pig hands on
    Theory (01:30 to 01:15 Hrs)|Practical (01:30 to 01:15 Hrs)
    Total (03:00 to 02:30 Hrs)

  • Chapter - 07 Hive

    • What is Hive?
    • How Hive works?
    • Simple processing using Hive
    • Advanced processing using Hive
    • Hive hands-on
    Theory (02:00 to 04:10 Hrs)|Practical (02:00 to 04:10 Hrs)
    Total (04:00 to 08:20 Hrs)

  • Chapter - 08 HBase

    • Introduction To Hbase
    • Row Distribution between region servers
    • Data Storage
    • HBase Master
    • HBase and Zookeeper
    • HBase Deployment
    • Installation of HBase
    • Configuration of HBase
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

  • Chapter - 09 Sqoop

    • Getting Sqoop
    • A Sample Import
    • Database Imports
    • Performing an Export
    Theory (00:30 to 00:45 Hrs)|Practical (00:30 to 00:45 Hrs)
    Total (01:00 to 01:30 Hrs)

  • Chapter - 10 Oozie

    • What is Oozie?
    • How Oozie Works?
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

  • Chapter - 11 Impala

    • What is Impala?
    • How Impala Works
    • Where Impala is better than Hive
    • Impala’s shortcomings
    • Impala hands-on
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

Big Data hadoop Training Methodology & Materials

  1. 100% hands-on Practical Job Oriented Training
  2. Well designed exercises/sessions
  3. Discussion on real life situations / problems faced on the job and their solutions
  4. Indepth Project work with each course to enhance learning and give the participant a feel of difficulty, thus ensuring they apply in realtime everything they have learnt.
  5. Task based teaching methodology where students are given tasks to do in class, as required in the real world.
  6. Assessments at the end of the course help gauge student progress and learning.