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NATIONAL INSTITUTE OF TECHNOLOGY ROURKELA

Post Graduate Program in Big Data Engineering

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Become an expert in the exciting world of Big Data Engineering — learn cutting-edge technologies and work on real-life industry-grade projects
Next batch starts on 5th April Limited no. of seats available
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NIT Rourkela

Mentoring from NITR Professors Certificate from NITR

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Course Structure

450+ Hours of Live Classes 30+ Assignments & 20+ Projects 9 Months Online Program

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Career Assistance

Resume Building Mock Interviews Assured Interview Calls

Why Big Data Engineering?
The adoption of Big Data is growing across industries, which has resulted in an increased demand for Big Data Engineers. However, the supply is inadequate, leading to a large number of job opportunities. In this environment, professionals with the appropriate skills can command higher salaries.

Average salary of a Big Data Engineer is $90,885 per year

Global Big Data market is expected to grow to $103 billion by 2027

Big Data Engineer ranks among the top trending jobs on LinkedIn

Who is this program for?
  • img Professionals looking for a career transition into Big Data Engineering
  • img Beginners in the Big Data domain looking to kickstart their careers
  • img Anyone working in the Data Analytics & BI domain
  • img Data Science Professionals looking to expand their skill sets
You will master
  • Apache Hadoop
  • Apache Spark
  • Apache Kafka
  • Apache Hive
  • Cassandra
  • Apache HBase
  • MySQL
  • Apache Flume
  • Apache Sqoop
  • Apache Oozie
  • Machine Learning with Apache Spark
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NATIONAL INSTITUTE OF TECHNOLOGY ROURKELA
  • Ranked 2nd among NITs by MHRD
  • Recognized as an Institute of National Importance
  • Ranked among the Top 150 universities in Asia
certificate
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Program Features
Mentorship from NITR facultyimg
Mentorship from NITR faculty
Get all your program-related doubts resolved from NIT Rourkela’s faculty members and gain invaluable career guidance
Placement Assistanceimg
Placement Assistance
We will help you get absorbed into the recruitment process of the industry’s biggest organizations, many of whom are program partners
Industry Networkingimg
Industry Networking
Get the opportunity to connect with, engage with, and learn from industry leaders and veterans
Custom Big data Labimg
Custom Big data Lab
Practice your skills in advanced big data lab with 100+ features and tools
Program Syllabus

Linux Fundamentals

SQL Essentials

Java Essentials for Big Data

Pre-requisites Test

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Introduction to Big Data, Data Structures and Algorithms

Non-linear Data Structures for Big Data

Designing High Performant Distributed Algorithms

Tool Stack Options for Big Data

Doubt Clearing Session 1

Additional Resources

End Course Test

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Background of Distributed and Parallel Computing Systems

Hadoop - A Distributed and Highly Scalable Computing Platform

Storing Big Data in a Distributed Cluster- HDFS

Advanced HDFS Concepts

MapReduce Computational Model

Advanced MapReduce Concepts

Doubt Clearing Session 2

Scala Essentials for Spark – I

Scala Essentials for Spark – II

In-memory Computation for Big Data

Advanced RDDs Concepts in Spark

Doubt Clearing Session 3

Additional Resources

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Introduction to RDBMS & File Organization

Storing, Handling & Managing Data in Relational Database

SQL Like Query Processing Engine for Big Data- Hive

Advanced Hive Concepts

Relational Data Processing with Spark: SparkSQL and DataFrames

Handling Heterogeneous Data with NoSQL

Exploring Column Based NoSQL Database- HBase

Working with NoSQL Database Cluster- Apache Cassandra

Deep Diving into Apache Cassandra

Additional Resource I

Additional Resource II

End Course Test

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Mid-Program Project - 1

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Introduction to Data Warehousing

Large Scale Data Ingestion Using Sqoop

Performing ETL Using Hive

Building Robust ETL Pipeline with Spark

Workflow and Job Scheduling – I

Workflow and Job Scheduling – II

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Working with Streaming Data

Streaming Data Processing With Spark

Low Latency and Real-Time Data Processing with Kafka – I

Low Latency and Real-Time Data Processing with Kafka – II

Building Streaming Data Pipeline Using Kafka Connect & Streams API

Building Streaming Data Pipeline Using Kafka, Spark & NoSQL

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Maintaining Data Integrity in Big Data Platforms

Access Policies in Big Data Platforms

Security Concepts in Hadoop – I

Security Concepts in Hadoop – II

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Introduction to Big Data Analytics

Business Intelligence & Visualization for Big Data

Advanced Analytics Using ML – I

Advanced Analytics Using ML – II

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450+ hrs live classes

30+ Assignments

100+ Case Studies

20+ Projects

Industry Projects
To consolidate your learning, an industry-grade project will be a part of your program. This project will ensure you have the real-world experience required to start your career in Big Data Engineering.
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Forecasting Trends and Demand
The project aims at designing an end-to-end robust Big Data ETL pipeline that ingests, store and process data for trend and demand forecasting. The system must be designed in a way that the architecture must be highly available, robust, scalable and fault-tolerant. To implement this project, you can make use of the various Big Data Ecosystem tools such as Hadoop, Spark, Hive, Kafka, Sqoop and NoSQL datastores.
Predictive Analytics & Fraud Detection-image
Predictive Analytics & Fraud Detection
In this project, one will be responsible for designing and building a robust and scalable system to store data and perform real-time processing to find fraudulent transactions. This project will be based on Lambda architecture which covers both batch as well as real-time processing.
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Sentiment Analysis
This project will require you to design and build a robust and scalable ETL Big Data pipeline that can store and process social media streaming data and then perform sentiment analysis on it. This data pipeline will involve extracting data from various social media sites and then processing it using various tools such as Hadoop, Spark, Hive, Kafka, and NoSQL datastores. While implementing this project, one should follow the best practices of designing a robust ETL Data pipeline.
Mentors & Instructors
Our program is helmed by experienced faculty members from NIT Rourkela and dedicated industry veterans with a background in Big Data.
Dr. A. K. Turuk-image
Dr. A. K. Turuk

Professor NITR

Department of Computer Science and Engineering. Professor Ashok Kumar Turk holds a PhD from IIT Kharagpur
Dr. Bibhudatta Sahoo-image
Dr. Bibhudatta Sahoo

Associate Professor NITR

Department of Computer Science and Engineering. Professor Bibhudatta Sahoo holds a PhD from NIT Rourkela
Dr. Korra Sathya Babu-image
Dr. Korra Sathya Babu

Assistant Professor Grade-1 NITR

Department of Computer Science and Engineering. Professor Korra Sathya Babu holds a PhD from NIT Rourkela
Admission Process
01
Registration
Share a few of your details through a very short form on our website.
02
Program Application
Tell us about your experience, academic qualifications and a bit more in a detailed form. Don’t worry, we’ve kept it simple.
03
Interview
A telephonic interview with an industry expert who will gauge your passion and eligibility for the program. Simply pick an interview date that’s convenient for you and pay a small, refundable interview booking fee of ₹1,000.
04
Scholarship & Offer Letter
After your assessment, you will be offered a scholarship. Once all the formalities are done, you will receive an offer letter to join the program if you are selected for the program.
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Program Fee
Starting @

₹12,000/month

Total Program Fee ₹1,97,500
Get a chance to win a scholarship up to ₹ 75,000
FAQs
Program Details
This is a 9-month online program. More than 75% of the program will be instructor-led live classes and about 25% will be self-paced learning.
This is a 9-month online program. All the live classes will be conducted on weekends.
More than 75% of the program will be instructor-led live classes and about 25% will be self-paced.
If you miss a live class, you will get a recording of the class within the next 12 hours. In addition to this, we provide 24X7 technical support for all your queries.
To help you get the best of both academic and industry experience, the classes will be conducted by industry experts and mentorship sessions by NITR professors.
The classes will be conducted on weekends.
This program will require 8-10 hours of commitment per week.
This a non-degree certification program offered by NIT Rourkela.
Yes, the course can be taken by anyone passionate about Big Data and its future. You just need a passion to learn.
Yes, anyone who is passionate about learning Big Data can enroll in this program. We encourage learners from diverse backgrounds. To enable this, we provide 24x7 support and supervised learning to our learners.
After you fill in your basic details for the program, you will be asked to complete a detailed application form to submit your application for screening. If your application is shortlisted, you will need to appear for an interview, which will be conducted by a subject matter expert/program faculty member.

Based on your profile and interview, if you are selected for admission, you will receive an admission offer letter from NITR & Edureka.
You can email the Admissions Office at admissions.pgp@edureka.co or call +91-9606058419.
The interview will be conducted by a subject matter expert/program faculty member.
The program fee is ₹1,97,500 (inclusive of taxes). To promote meritorious candidates, we are offering scholarship up to ₹75,000.
The scholarship is awarded based on the strength of your profile and your interview performance.
Yes. You can choose an EMI option through your credit or debit card. We also have other financing options for this program. For more information, reach out to our admission counsellors at +91-8047474382 or +1 (415) 980-4399.
Yes. We have tie-ups with a few financial partners. You just need to pay a small down payment to avail the loan.
You can attend all the live classes on a laptop/desktop with basic specifications.
We have multiple doubt clearing sessions and 1-on-1 supervised learning for our learners. We are committed to helping you learn.
How You Benefit From This Program
  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work
I’m Interested in This Program
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