Big Data Hadoop Training Institute in India

Big Data Hadoop Training Institute in India

Course code: LBG0725

IT & Software Data Science

About Course:

Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. So to manage this large volume of data they need framework and Hadoop is the best. and process these data.









Sign Up:

Get started for free, Create a batch as per your free time and start learning online, you can also join our LIVE class by signing up to our Learn By Genius platform.

sign-up without credit card
Start for free Pay Now

What is hadoop in Data Science ?

  • Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.
  • Hadoop is an Apache top-level project being built and used by a global community of contributors and users. It is licensed under the Apache License 2.0.

Who can Learn Hadoop in Data Science?

  • To learn Hadoop and build an excellent career in Hadoop, having basic knowledge of Linux and knowing the basic programming principles of Java is a must.
  • Thus, to incredibly excel in the entrenched technology of Apache Hadoop, it is recommended that you at least learn Java basics.

What are Roles and Responsibilities of Hadoop ?

  • The primary job of a Hadoop Developer involves coding.
  • They are basically software programmers but working in the Big Data Hadoop domain.
  • They are adept at coming up with the design concepts that are used for creating extensive software applications.

What are Future Scope and Market shares ?

  • So to manage this large volume of data they need framework and Hadoop is the best and process these data.
  • In future as per my understanding Hadoop and Big Data technology demand is going to be high.
  • You can Imagine How BIG DATA HADOOP Has Upcoming Future Career.

What is Salary Package of Hadoop ?

  • The average salary for big data analytic professionals in the non-managerial role is 8.5 lakhs INR, whilst managers can earn an average of whopping 16 lakhs.
  • These average salaries are merely big data skills like hadoop and spark.

What are the Job Opportunities in Hadoop ?


  • Map Reduce is the heart of Apache Hadoop.
  • It is a programming paradigm that enables massive scalability across hundreds or thousands of servers in a Hadoop cluster.
  • As the sequence of the name MapReduce implies, the reduce job is always performed after the map job.

Introduction to Hadoop and Big Data

  • What is Big Data?

  • What are the challenges for processing big data?

  • What technologies support big data?

  • What is Hadoop?

  • Why Hadoop?

  • History of Hadoop

  • Use cases of Hadoop

  • RDBMS vs Hadoop

  • When to use and when not to use Hadoop

  • Ecosystem tour

  • Vendor comparison

  • Hardware Recommendations & Statistics

HDFS: Hadoop Distributed File System

  • Significance of HDFS in Hadoop

  • Features of HDFS

  • 5 daemons of Hadoop

    • Name Node and its functionality

    • Data Node and its functionality

    • Secondary Name Node and its functionality

    • Job Tracker and its functionality

    • Task Tracker and its functionality

  • Data Storage in HDFS

    • Introduction about Blocks

    • Data replication

  • Accessing HDFS

    • CLI (Command Line Interface) and admin commands

    • Java Based Approach

  • Fault tolerance

  • Download Hadoop

  • Installation and set-up of Hadoop

    • Start-up & Shut down process

  • HDFS Federation

Map Reduce

  • Mapreduce Story
  • Mapreduce Architecture
  • How Mapreduce works
  • Developing Mapreduce
  • Mapreduce Programming Model
    • Different phases of Mapreduce Algorithm

    • Different Data types in Mapreduce

    • how Write a basic Mapreduce Program

    • Driver Code

    • 3 Mapper

    • Reducer

  • Creating Input and Output Formats in Mapreduce Jobs
    • Text Input Format

    • Key Value Input Format

    • Sequence File Input Format

  1. Data localization in Map Reduce

  2. Combiner (Mini Reducer) and Partitioner

  3. Hadoop I/O

  4. Distributed cache


  • Introduction to Apache Pig

  • Map Reduce Vs. Apache Pig

  • SQL vs. Apache Pig

  • Different data types in Pig

  • Modes of Execution in Pig

  • Grunt shell

  • Loading data

  • Exploring Pig

  • Latin commands


  • Hive introduction

  • Hive architecture

  • Hive vs RDBMS

  • HiveQL and the shell

  • Managing tables (external vs managed)

  • Data types and schemas

  • Partitions and buckets



  • Architecture and schema design

  • HBase vs. RDBMS

  • HMaster and Region Servers

  • Column Families and Regions

  • Write pipeline

  • Read pipeline

What is the SAP FICO Course Duration?

  • Overall - 2 Months
  • Batch Mode - Daily / Weekend.

What is the SAP FICO Course fees ?

  • Our fees are dependent on batches, You can call our executive and they tell you current batch fees.

Who are the trainers for SAP FICO Course ?

  • We have experienced trainers team with us, who is having more than 5+ years real time industry experience, other than that they have teaching experience.
  • Our trainers are experts in their field and have thorough domain knowledge and hands-on industry expertise.

 Do you provide SAP FICO Course training material to the candidates ?

  • Yes, study material will be provided to you in our website, we will give you access to our study material.

 How to register ?

  • There are two ways of getting register for the course, one you can enter Name, Email, Phone and Course and registrar on website.
  • Second, you can simply give us a call our executive will do all the needful for you.

 What are the payment options?

  • Bank Transfer (NEFT)
  • Cheque Payment
  • Google pay, Paytm
  • Western Union Money transfer 

Will I get a demo class?

  • Yes, you can registrar for Free Demo class.

What is system configuration required for an online training class?

  • You don’t need any special configuration, have the proper equipment like headphone, internet, regular configured course.

What if I have any questions during the class ?

  • You can always ask any question during class and the trainer will right away answer your question.

What if I miss the class?

  • You don’t need to worry we will give you recorded session, and we will let u know the class time for missed class from another batch, you just need to manage time.

Will there be interactive classes, Practical classes with real-time exposure?


There will be an interactive call, we will take practical classes.

Write a review

Share your feedback for this course




Lifetime Membership

Join one time and learn lifetime

Money Back Guarantee

If you are not satisfied with the training, you can take back money, only thing is you should inform us in time

Internship projects

Learn while working, Live Projects