E&ICT IIT Roorkee - Data Engineering Course at Rs. 2,999 (90% Sponsored) | Expires in

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Big Data with Hadoop and Spark Online Training with Certification (Incl. Cloud Based Lab Access)

Learn HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume, Sqoop, Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, and GraphX From Industry Experts

3,506 Ratings       9,025 learners

  60+ hours training

  90 days of Lab

  24x7 Support

8 Projects

  Compatible with Hortonworks, Cloudera Certifications

About the Specialization

As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.

There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.

In this specialization, you will learn Hadoop and Spark to drive better business decisions and solve real-world problems.

2 courses

Learn from industry experts. 60+ hours of live video.

Projects & Lab

Apply the skills you learn on a distributed cluster to solve real-world problems.


Highlight your new skills on your resume or LinkedIn.

Best-in-class Support

24×7 support and forum access to answer all your queries throughout your learning journey.


Compatible with: CCP Data Engineer, CCA Spark and Hadoop Developer, HDP Certified Developer, HDP Certified Developer: Spark
Check out E&ICT, IIT Roorkee Data Engineering course if you are a faculty/working professional

Self-Paced Learning

Start Immediately
Learn at your pace
90 days lab

190 299

Instructor-led Trainings

25 Aug
Sun, Sat
(10 weeks)
7:30 a.m. - 10:30 a.m. America/Los_Angeles

90 days lab
549 749
Learning Path
Download Course Syllabus

Course 1

Big Data with Hadoop

This is the first course in the specialization. In this course, we start with Big Data introduction and then we dive into Big Data ecosystem tools and technologies like ZooKeeper, HDFS, YARN, MapReduce, Pig, Hive, HBase, NoSQL, Sqoop, Flume, Oozie.

Each topic consists of high-quality videos, slides, hands-on assessments, quizzes and case studies to make learning effective and for life. With this course, you also get access to real-world production lab so that you will learn by doing.

You can choose to take this course only. Learn More

1.1 Big Data Introduction

1.2 Distributed systems

1.3 Big Data Use Cases

1.4 Various Solutions

1.5 Overview of Hadoop Ecosystem

1.6 Spark Ecosystem Walkthrough

1.7 Quiz

2.1 Understanding the CloudxLab

2.2 Getting Started - Hands on

2.3 Hadoop & Spark Hands-on

2.4 Quiz and Assessment

2.5 Basics of Linux - Quick Hands-On

2.6 Understanding Regular Expressions

2.7 Quiz and Assessment

2.8 Setting up VM (optional)

3.1 ZooKeeper - Race Condition

3.2 ZooKeeper - Deadlock

3.3 Hands-On

3.4 Quiz & Assessment

3.5 How does election happen - Paxos Algorithm?

3.6 Use cases

3.7 When not to use

3.8 Quiz & Assessment

4.1 Why HDFS or Why not existing file systems?

4.2 HDFS - NameNode & DataNodes

4.3 Quiz

4.4 Advance HDFS Concepts (HA, Federation)

4.5 Quiz

4.6 Hands-on with HDFS (Upload, Download, SetRep)

4.7 Quiz & Assessment

4.8 Data Locality (Rack Awareness)

5.1 YARN - Why not existing tools?

5.2 YARN - Evolution from MapReduce 1.0

5.3 Resource Management: YARN Architecture

5.4 Advance Concepts - Speculative Execution

5.5 Quiz

6.1 MapReduce - Understanding Sorting

6.2 MapReduce - Overview

6.3 Quiz

6.4 Example 0 - Word Frequency Problem - Without MR

6.5 Example 1 - Only Mapper - Image Resizing

6.6 Example 2 - Word Frequency Problem

6.7 Example 3 - Temperature Problem

6.8 Example 4 - Multiple Reducer

6.9 Example 5 - Java MapReduce Walkthrough

6.10 Quiz

7.1 Writing MapReduce Code Using Java

7.2 Building MapReduce project using Apache Ant

7.3 Concept - Associative & Commutative

7.4 Quiz

7.5 Example 8 - Combiner

7.6 Example 9 - Hadoop Streaming

7.7 Example 10 - Adv. Problem Solving - Anagrams

7.8 Example 11 - Adv. Problem Solving - Same DNA

7.9 Example 12 - Adv. Problem Solving - Similar DNA

7.10 Example 12 - Joins - Voting

7.11 Limitations of MapReduce

7.12 Quiz

8.1 Pig - Introduction

8.2 Pig - Modes

8.3 Getting Started

8.4 Example - NYSE Stock Exchange

8.5 Concept - Lazy Evaluation

9.1 Hive - Introduction

9.2 Hive - Data Types

9.3 Getting Started

9.4 Loading Data in Hive (Tables)

9.5 Example: Movielens Data Processing

9.6 Advance Concepts: Views

9.7 Connecting Tableau and HiveServer 2

9.8 Connecting Microsoft Excel and HiveServer 2

9.9 Project: Sentiment Analyses of Twitter Data

9.10 Advanced - Partition Tables

9.11 Understanding HCatalog & Impala

9.12 Quiz

10.1 NoSQL - Scaling Out / Up

10.2 NoSQL - ACID Properties and RDBMS Story

10.3 CAP Theorem

10.4 HBase Architecture - Region Servers etc

10.5 Hbase Data Model - Column Family Orientedness

10.6 Getting Started - Create table, Adding Data

10.7 Adv Example - Google Links Storage

10.8 Concept - Bloom Filter

10.9 Comparison of NOSQL Databases

10.10 Quiz

11.1 Sqoop - Introduction

11.2 Sqoop Import - MySQL to HDFS

11.3 Exporting to MySQL from HDFS

11.4 Concept - Unbounding Dataset Processing or Stream Processing

11.5 Flume Overview: Agents - Source, Sink, Channel

11.6 Example 1 - Data from Local network service into HDFS

11.7 Example 2 - Extracting Twitter Data

11.8 Quiz

11.9 Example 3 - Creating workflow with Oozie

Course 2

Big Data with Spark

This is the second course in the specialization. In this course, we start with Big Data and Spark introduction and then we dive into Scala and Spark concepts like RDD, transformations, actions, persistence and deploying Spark applications. We then cover Spark Streaming, Kafka, various data formats like JSON, XML, Avro, Parquet and Protocol Buffers. We conclude the course with very important topics such as Dataframes, SparkSQL, SparkR, MLlib and GraphX.

Each topic consists of high-quality videos, slides, hands-on assessments, quizzes and case studies to make learning effective and for life. With this course, you also get access to real-world production lab so that you will learn by doing.

You can choose to take this course only. Learn More

1.1 Apache Spark ecosystem walkthrough

1.2 Spark Introduction - Why Spark?

1.3 Quiz

2.1 Scala - Quick Introduction - Access Scala on CloudxLab

2.2 Scala - Quick Introduction - Variables and Methods

2.3 Getting Started: Interactive, Compilation, SBT

2.4 Types, Variables & Values

2.5 Functions

2.6 Collections

2.7 Classes

2.8 Parameters

2.9 More Features

2.10 Quiz and Assessment

3.1 Apache Spark ecosystem walkthrough

3.2 Spark Introduction - Why Spark?

3.3 Using the Spark Shell on CloudxLab

3.4 Example 1 - Performing Word Count

3.5 Understanding Spark Cluster Modes on YARN

3.6 RDDs (Resilient Distributed Datasets)

3.7 General RDD Operations: Transformations & Actions

3.8 RDD lineage

3.9 RDD Persistence Overview

3.10 Distributed Persistence

4.1 Creating the SparkContext

4.2 Building a Spark Application (Scala, Java, Python)

4.3 The Spark Application Web UI

4.4 Configuring Spark Properties

4.5 Running Spark on Cluster

4.6 RDD Partitions

4.7 Executing Parallel Operations

4.8 Stages and Tasks

5.1 Common Spark Use Cases

5.2 Example 1 - Data Cleaning (Movielens)

5.3 Example 2 - Understanding Spark Streaming

5.4 Understanding Kafka

5.5 Example 3 - Spark Streaming from Kafka

5.6 Iterative Algorithms in Spark

5.7 Project: Real-time analytics of orders in an e-commerce company

6.1 InputFormat and InputSplit

6.2 JSON

6.3 XML

6.4 AVRO

6.5 How to store many small files - SequenceFile?

6.6 Parquet

6.7 Protocol Buffers

6.8 Comparing Compressions

6.9 Understanding Row Oriented and Column Oriented Formats - RCFile?

7.1 Spark SQL - Introduction

7.2 Spark SQL - Dataframe Introduction

7.3 Transforming and Querying DataFrames

7.4 Saving DataFrames

7.5 DataFrames and RDDs

7.6 Comparing Spark SQL, Impala, and Hive-on-Spark

8.1 Machine Learning Introduction

8.2 Applications Of Machine Learning

8.3 MlLib Example: k-means

8.4 SparkR Example



1. Sentiment analysis of "Iron Man 3" movie using Hive and visualizing the sentiment data using BI tools such as Tableau

2. Process the NSE (National Stock Exchange) data using Hive for various insights

3. Analyze MovieLens data using Hive

4. Generate movie recommendations using Spark MLlib

5. Derive the importance of various handles at Twitter using Spark GraphX

6. Churn the logs of NASA Kennedy Space Center WWW server using Spark to find out useful business and devops metrics

7. Write end-to-end Spark application starting from writing code on your local machine to deploying to the cluster

8. Build real-time analytics dashboard for an e-commerce company using Apache Spark, Kafka, Spark Streaming, Node.js, Socket.IO and Highcharts



Earn your certificate

Our Specialization is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in Big Data domain.

Differentiate yourself

The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.

Share your achievement

Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.

 Course Certificate Sample
Course Creators
Sandeep Giri

Sandeep Giri

Founder at CloudxLab
Past: Amazon, InMobi, D.E.Shaw
Course Developer
Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab
Past: Byjus
Course Developer
 Jatin Shah

Jatin Shah

Ex-LinkedIn, Yahoo, Yale CS Ph.D.
Course Advisor


(4.9 out of 5)

I have started learning 3 months ago and I really gained much info and practical experience. I completed the “Big Data with Spark” course and the learning journey really exceeded my expectations.

The course structure and topics were great, well organized and comprehensive, even the basics of Linux were covered in a very simple way. There were always exercises and hands-on that build better understanding, also the lab environment and provided online tools were great help and let you practice everything without having to install anything on your PC except the web browser.

In addition, for the live sessions, it was really a joy attending them each weekend, our instructor “Sandeep Giri”, besides his great experience and knowledge, he was generous, helpful and patient answering all attendees questions in such a way that he could go for more examples and hands-on or even searching the documentation and try new things, I gained much from other attendees’ questions and the way Sandeep responded to them.

This was a great experience having this course and I’m going for more courses in Big Data and Machine Learning with CloudxLab and I recommend it for all my friends and colleagues who look for better learning.


Must have for practicing and perfecting hadoop. To setup in PC you need to have a very high end configuration and setup will be pseudo node setup.. For better understanding I recomend CloudxLab


They are great. They take care of all the Big Data technologies (Hadoop, Spark, Hive, etc.) so you do not have to worry about installing and running them correclty on your pc. Plus, they have a fantastic customer support. Even when I have had problems debugging my own programs, they have answered me with the correct solution in a few hours, and all of this for a more than reasonable price. I personally recommend it to everyone :)


I have been using CloudxLab for last 3 months for learning Hadoop and Spark, and I can vouch for it.

It’s a platform where you can learn from the tutorial videos and then practice in the lab they provide on cloud. The study materials are well-planned and I would be lying if I say its not great.
The video lectures explains the technical stuffs in very simple ways which makes it easier to grasp the concepts. Also, the customer service is great.
So, thumbs up for the team associated with CloudxLab.
To conclude my views, I would just say that, if you are willing to learn Big Data related stuff, I strongly recommend CloudxLab.


I think I can give some points on this . Am using cloudxlab for more than an year… my intention is for continuous learning.
For Students and technology change professionals :
In General Big data hadoop, (a) you can learn on your personal PC, but for that the minimum configuration of 12 GB Ram with good processing speed, still when you execute jobs it will take more time for processing jobs as it will be acting as single node.(b) If you try to install each and every components, it will take hell a lot of admin work , and some thing happens , you have to invest lot of time for debugging.
The main advantage of using cloudxlab,
a) Get 6 node production cluster with all installed components, just getting user and password, you can start working on it.
b) You have almost all the access.
c) Good amount of components installed.
d) You can play around with each of them with 5gb of test data.
e) So far I didnt experience any down time.
f) You can Practice in your college lab, on free time.
g) Good email support on technical perspective.
h) They have couple of test data, I use my own.
i) vi and nano editor supported.
j) Some of the components which I remember are HDFS,MapReduce2, YARN, Tez, ZooKeeper,Falcon,Storm, Kafka,Spark,Jupyter Notebook, Hive,HBase, Pig, Sqoop, Oozie, Flume,Accumulo,Ambari.


In Self-paced learning, you will get,

  • Lifetime access to the self-paced course including videos, assessments, quizzes, and projects
  • Recordings of the previous batch of instructor-led training
  • 24x7 support using discussion forums
  1. Basics Of SQL. You should know the basics of SQL and databases. If you know about filters in SQL, you are expected to understand the course.

  2. A know-how of the basics of programming. If you understand 'loops' in any programming language, and if you are able to create a directory and see what's inside a file from the command line, you are good to get the concepts of this course even if you have not really touched programming for the last 10 years! In addition, we will be providing video classes on the basics of Python and Scala.

The instructors for this course are industry experts having years of experience in mentoring students across the world.

It will take 2-3 months with 6-8 hours of effort per week.

We understand that you might need course material for a longer duration to make most out of your subscription. You will get lifetime access (Till the company is operational) to the course material so that you can refer to the course material anytime.

In online instructor-led training, Sandeep Giri along with his team of experts will train you with a group of our course learners for 100+ hours over online conferencing software like Zoom.

There are 3 differences between these courses -

1.) Data Engineering course provides a certificate from E&ICT, IIT, Roorkee whereas Big Data course from CloudxLab provides certification from CloudxLab itself. 2.) Though both courses have the studio-recorded high-quality short videos on topics, the Big Data course from CloudxLab also includes the recordings of a previous live course of 3 hours. 3.) Data Engineering course costs INR 2,999 or USD 35 whereas Big data course from CloudxLab is priced at INR 9,995 or USD 190.

The E&ICT Academy project is sponsored by the Ministry of Electronics and Information Technology, Govt. of India. The E&ICT courses lay special emphasis on hands-on learning with participation from industry in the emerging areas of the E&ICT domain. Their programs enable the participants and institutes to build industry connects, upgrade lab facilities and create opportunities for collaboration For this course, CloudxLab has joined hands with E&ICT, IIT Roorkee in order to fulfill the vision of The Ministry of Electronics and Information Technology (MeitY), to upskill the faculties across the country on high-end technologies. Hence it is available at such low prices so that every eligible person can pursue it and benefit from it wrt his career growth and country's growth as well.

Please log in at CloudxLab.com with your Gmail Id and access your course under "My Courses".

In this course, you will work on real-time projects. You will receive a problem statement along with a data-set to work on CloudxLab. Once you are done with the projects (it will be reviewed by an expert), you will be awarded a certificate which you can share on LinkedIn.

You can check https://youtu.be/dXCx4anEcgU for watching the Course Preview.

We offer mentoring sessions to our learners with industry leaders and professionals so you can get 1 on 1 help with any questions you may have, whether your questions are technical, job-related or anything else.

This is a paid service available to learners enrolling in the course. Please write to us at reachus@cloudxlab.com for more details

This course is available only for Indian citizens and Aadhar card number is required to verify the details at the time of the certification from E&ICT, IIT Roorkee.

Enrollment into self-paced course entails 90 days of free access to CloudxLab. Enrollment into instructor-led course entails 90 days of free access to Cloudxlab, depending on date of enrollment.

Yes, you can provide a letter from your manager on the letterhead of the company mentioning that you are currently employed with them.

Yes. Java is generally required for understanding MapReduce. MapReduce is a programming paradigm for writing your logic in the form of Mapper and reducer functions. We provide a self-paced course on Java for free. As soon as you signup, it would be available in your account section.

Yes, you are eligible for the course. We would require your Aadhar card and Graduation degree affiliated from AICTE or UGC as the supporting documents to complete the enrollment procedure.

Course requires a good internet (1 Mbps or more) and a browser to watch videos and do hands-on the lab. We've configured all the tools in the lab so that you can focus on learning and practicing in a real-world cluster.

These days most of the companies are using Big Data systems like Hive and Spark for analytics. After the course, you will have a good knowledge of mining data using Hive and SparkSQL. Also, you will learn how to run your "R" code in SparkR.

No, 90 days lab is available within the course price of INR 2,999.

For self-paced course, we provide 100% fees refund if the request is raised within 7 days from enrollment date. Thereafter, no refund is provided.

For instructor-led course, we provide 100% refund if not more than 1 live session has been conducted -- and we provide 50% refund if 2-4 live sessions have been conducted. If 5 or more live sessions have been conducted, then no refund will be provided.
Yes, you can renew your subscription anytime. Please choose your desired plan for the lab and make payment to renew your subscription.

At CloudxLab, we have always believed in quality education must be affordable for everyone so that we can help learners achieving career goals and build innovative products.

Please follow this post for more details on the financial aid.

In Big Data with Hadoop and Spark specialization you will learn Hadoop and Spark to drive better business decisions and solve real-world problems. It will add value to your research but you will have to deep dive into the topic of your research on your own.

The subsidy by the Government of India is applicable only for a certain limited number of working professionals or faculties.

As of now, the students and the other professionals are not eligible for this subsidy.

For further details, please reach out to us through email (support@cloudxlab.com).

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Have more questions? Please contact us at reachus@cloudxlab.com