Become a Hadoop Developer |Training|Tutorial

Learn Hadoop and get certified & bag one of the highest paying IT jobs in current times.
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15,373 students enrolled Bestselling in Data Science
Instructed by Nitesh Jain Development / Databases
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  • Lectures 49
  • Length 5 hours
  • Skill Level Intermediate Level
  • Languages English, captions
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 10/2013 English Closed captions available

Course Description

"Completed my CCDH certification!!!"

"I have just completed the CCDH certification last week. And i must say that this course helped me a great deal to master the Hadoop concepts and gain confidence in taking up this challenging exam.

The course is designed well and the Hadoop concepts explained in a very clear style which also made my learning fun. I would recommended this course for anyone wanting to take up the CCDH." -Glen


"Must have Course!!!"

"Innovative way of teaching. I found this to be a lot of value packed into one single course! Instructor has really given his best to make you understand the topics. I would recommend this to everyone." - Abhijeet Garde


"Good course on hadoop for beginners!"

"This is probably one of the best bang for the buck hadoop courses Ive taken and seen. Ive taken a few other quick free courses to get Hadoop and MapReduce from a different perspective and I always refer back to this course." -Brian Teusink


Objective of this Course

You may start with no knowledge in Hadoop and this training will help you setup hadoop and learn hadoop and mapReduce programming to a level you can get ready to face certification exam from Cloudera: Cloudera Certified Hadoop Developer (CCD-410.)

Learning hadoop is simple:

Learning Hadoop is easy, all you need is a little help in the right direction. You can learn it at home by setting by a cluster on single machine and try your hands on advanced concepts at home and this course helps you do just that. In this course you will learn the fundamentals of hadoop with examples and pictorial explanations which are fast and easy to understand. With exam like practice quizzes, you will get ready to clear Cloudera and Hortonworks developer certification examination.

There are courses from a lot of companies which cost a fortune($2000 and upwards) for just 3 to 4 day training. This course is aimed to provide a less costly DIY pattern learning. One of the unique qualities of this course is that it helps you reach certification level expertise at fraction of the cost.

Why you should take this course?

Things keep changing, and when in IT, you should know that the rule of the game is to understand the new wave and ride it when its there. This course would take down all the initial struggle that you might need to do to learn a complex technology and you'll be able to learn easily through video and through interacting with me.

Calculate the Return On Investment (ROI) for this course. Knowledge, certification and higher pay-scales would remain with you forever, with just one time small investment. This could be one of your best investment to brighten carrier opportunities.

This could open your doors to the most in demand IT jobs in the current times. Right now is the perfect time to enter the field of Big Data and whatever target you choose, to be hadoop developer or hadoop administrator or hadoop data scientist, the content of the course is fundamental to every carrier path and very necessary to reach the ultimate goal.

What you will get from the course?

1. High quality video content: The video content is filled with animations and pictorial representations so as to make your learning interesting, innovative, fast and easy.

2. Code and Hands-on: All the students enrolled in this course install and run programs in map-reduce framework. Code of all the programs discussed is attached with the course. (10+ code examples).

3. Quizzes: There are exam-like, interesting quiz questions at the end of each lesson to check the learning and to get you ready for the certification exams.

4. Important Documents: A few important pdf document notes are attached with the lessons which help you to refer to when working on hadoop.


These general questions have been asked to me in the past.

Ques> By what time can I think of getting certified?

> It would take you around 15-25 days time to complete the course as it involves setting up hadoop and some hands on exercises. At the end of the course there are exam like quiz questions which would test your readiness to face and clear the exam. Because the exam pattern keeps changing, I would highly recommend to go through Cloudera practice papers to be in perfect preparation for the exam.

Ques> Do you give exam dumps?

> Nope. Sorry. This course would help you build understanding about Hadoop and thus prepare you for the exam. No dubious activities such as giving exam dumps are encouraged by this course.

More Information on Hadoop Certification

For more information on hadoop certification, search google for Cloudera CCD-410 and Hortonworks Certified Apache Hadoop 2.x Java Developer (HCAHD).


"Best Hadoop Training for Starters"

"This is the best course which I have come across on Hadoop Training. Excellent teaching using slides in a way that anyone with zero knowledge can get along. This course is worth every cent.

Great work Nitesh. Thanks for coming up with this course." - Uzair


What are the requirements?

  • If you want to do hands on and programming along with the lessons, you would require a 64 bit processor computer with atleast 4 GB RAM. If you are just interested in theory, you don't even need that.

What am I going to get from this course?

  • Code of all the programs discussed.
  • Builds strong MapReduce and Hadoop fundamentals.
  • 200+ highly relevant questions to prepare for certification exams like Cloudera and Hortonworks.
  • Massive Q&A repository.

Who is the target audience?

  • Anyone interested in Hadoop, HDFS and MapReduce.
  • For those who want to learn programming in MapReduce a little OOP knowledge is assumed.
  • Basic database knowledge is assumed. (Like joins, normalisation)

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Welcome to the Course!
Become a Certified Hadoop Developer
Welcome to the Course
Section 2: Introduction to Hadoop
Big Data - Big value
Quiz 2-1
2 questions
Understanding Big Data
4 questions

End of lesson quiz.

Hadoop and other Solutions
Quiz 2-3
4 questions
Distributed Architecture - A Brief Overview
Quiz 2-4
1 question

Features between the releases

Quiz 2-5
2 questions
Section 3: Hadoop Setup

Important Note!!!

This is a video tutorial for Hadoop Version 1.2.1. I would highly suggest to download hadoop 1.2.1 till I make the video for changes in Hadoop 2.x.x.

If you still want to explore hadoop 2.x.x, please follow my other course "Setting up Hadoop 2.X made Easy" on

Linux (Ubuntu) - Tips and Tricks
HDFS commands
Running a MapRed Program
Section 4: HDFS Architecture and Concepts
HDFS Concepts
Quiz 4-1
12 questions
HDFS Architecture
Quiz 4-2
4 questions
HDFS Read and Write
Quiz 4-3
4 questions
HDFS Concepts II
Special Commands
Section 5: Understanding MapReduce
MapReduce Introduction
Quiz 5-1
4 questions
Understanding MapReduce Part 1
Quiz 5-2
3 questions
Understanding MapReduce Part 2
Quiz 5-3
1 question
Running First MapReduce Program
Quiz 5-4
6 questions
Combiner And Tool Runner
Quiz 5-5
5 questions
Recap Map, Reduce and Combiner Part 1
Recap Map, Reduce and Combiner Part 2
Section 6: MapReduce Types and Formats
MapReduce Types and Formats
Quiz 6-1
3 questions
Experiments with Defaults
Quiz 6-2
3 questions
IO Format Classes
Quiz 6-3
2 questions
Experiments with File Output - Advanced Concept
Section 7: Classic MapReduce and YARN
Anatomy of MapReduce job run
Quiz 7-1
4 questions
Job Run- Classic MapReduce
Quiz 7-2
6 questions
Failure Scenarios - Classic Map Reduce
Quiz 7-3
4 questions
Job Run - YARN
Quiz 7-4
8 questions
Failure Scenario - YARN
Quiz 7-5
4 questions
Job Scheduling in MapReduce
Shuffle and Sort
Quiz 7-7
4 questions
Performance Tuning Features
Quiz 7-8
4 questions
Section 8: Advanced MapReduce Concepts
Looking at Counters
Quiz 8-1
3 questions
Hands on - Counters
Sorting Ideas with Partitioner - Part 1
Sorting Ideas with Partitioner - Part 2
Quiz 8-2
5 questions
Map Side Join Operation
Quiz 8-3
4 questions
Reduce Side Join Operation
Quiz 8-5
2 questions
Side Distribution of Data
Quiz 8-6
3 questions
Hadoop Streaming and Hadoop Pipes
Quiz 8-7
2 questions
Section 9: Introduction to Hadoop Ecosystem
Introduction to Pig
Introduction to Hive
Quiz - Hive
4 questions
Introduction to Sqoop
Knowing Sqoop
Introduction to Ecosystem
1 page
Section 10: Final Frontier: Preparation for CDH-410 Certification Exams
50 questions

This is two Part exam.

First Part contains 50 questions. Time it yourself and attempt it in 1 hour 45 mins.

This would have mix of questions from all the topics covered so far.

Best of Luck!!!

Final Exam Part 2
52 questions
19 questions

Reading Hadoop Definitive Guide is highly suggested before you take the date for the exam.

Best of Luck!

Preparation for Certification exams

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Instructor Biography

Nitesh Jain, Hadoop and Data Analytics Instructor

I have an experience of over 7 years in the IT industry. I have worked with CMMi level 5 companies and provided services to clients in fortune 15 companies, like ATnT and AvisBudget.

Training has been my passion and Big data technology and data analytics are my strength. I am on my way to create courses which should help any beginner to step by step learn and be able to become a Big data expert.

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Udemy Industry Insights: Hadoop

Udemy Industry Insights is a podcast in which we chat with industry leaders and experts in the fields of our most popular courses. We ask about career advice, skill development, and try to answer the question: what exactly do you do?

In this episode, we speak with Ken Krugler, the President of the data mining firm Scale Unlimited, about "big data" and Hadoop. Below, you'll find the full conversation as well as an infographic summary of the conversation. Enjoy!