Advanced Executive Program in Big Data Engineering

Become an expert in the exciting world of Big Data Engineering — learn cutting-edge technologies and work on real-life industry-grade projects
Seats are full
NIT Rourkela-image
NIT Rourkela

Curriculum Curated by NITR Professors Join Certificate from Edureka and NITR

Course Structure-image
Course Structure

450+ Hours of Intensive Learning 30+ Practicals & 20+ Assignments 9 Months Online Program

Career Assistance-image
Career Assistance

Resume Building Mock Interviews 1-on-1 Career Mentoring

Why Big Data Engineering?

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
  • Ranked among top 5 NITs by MHRD
  • Recognized as an Institute of National Importance
  • Ranked among the Top 150 universities in Asia
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Program Features
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
Onboarding Course

Career Assistance Services


Linux Fundamentals

SQL Essentials

Java Essentials for Big Data

Pre-requisites Test

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

Question Bank

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

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

Advanced MapReduce Concepts (Self-Paced)

Additional Resources

Question Bank

Introduction to RDBMS

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

Question Bank

Mid-Program Project - 1

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

Question Bank

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, Spark & NoSQL

Building Scalable Data Pipeline using Kafka Connect & Streams API (Self-Paced)

Question Bank

Mid-Program Project - 2

Introduction to Big Data Analytics

Feature Engineering and Collaborative Filtering using SparkML

Advanced Analytics using SparkML - Supervised Learning - I

Advanced Analytics using SparkML - Supervised Learning - II

Advanced Analytics using SparkML - Unsupervised Learning

Data Visualization using Tableau (Self-Paced)

Question Bank

Introduction to Data Governance

Fundamentals of Data Security

Securing Data in Big Data Platforms

Data Governance and Security in Cloudera Distribution

Question Bank

Industry Projects

Interview Preparation Question Bank

450+ hrs live classes

20+ Assignments

100+ Case Studies

30+ Practicals

Industry Projects
Forecasting Trends and Demand-image
Forecasting Trends and Demand
In this project, one has to design a robust Big Data ETL Pipeline Infrastructure which can ingest, store, and process data for trend and demand forecasting. This ultimately helps businesses to introduce different strategies to retain their existing clients and attract new clients. 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, you will be responsible to design and build a Big Data system to store data, perform real-time processing to differentiate between geniune and fraudulent transaction. This project makes use of Lambda architecture due to which, if the transaction is identified as fraud, that transaction will be declined in real-time. It makes use of Big Data Ecosystem tools - Hadoop, Spark, Hive, Kafka, Sqoop, NoSQL datastores.
Customer Retention Strategy-image
Customer Retention Strategy
This project allows you to design and build a fault-tolerant, robust, and scalable ETL Big Data pipeline that can process the data collected through CRM and design Key Performance Indicators to understand the overall customer experience and optimize the CRM process to retain the customers. To implement this project, you can use the various Big Data Ecosystem tools such as Hadoop, Spark, Hive, Kafka, Sqoop, and NoSQL datastores.
Program Advisors
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

Associate Professor NITR

Department of Computer Science and Engineering. Professor Bibhudatta Sahoo holds a PhD from NIT Rourkela
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
Share a few of your details through a very short form on our website.
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.
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.
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.
Program Fee
Starting @


Total Program Fee ₹1,97,500
Get a chance to win a scholarship up to ₹ 75,000
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 there will be select recorded sessions by the institute professors.
The classes will be conducted on weekends.
This program will require 8-10 hours of commitment per week.
This is a Non-Degree and Non-Diploma Certification Program offered jointly by Edureka and Continuing Education Activity of NIT Rourkela.
You may visit this page on NITR website:
You may please get in touch with Prof Ashok Kumar Turuk at
A potential candidate could be a graduate with degrees such as Bsc, BCA, MCA, B.E or B.Tech and must have studied PCM in 10+2.
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 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.
All our programs are non-refundable and non-cancellable. We recommend that you read all information carefully before enrolling. However, we will do everything to ensure you have a smooth learning experience with us.
No, we don't allow batch changes as it impacts your learning and career goals. Additionally, batches are monitored by the institute and are run as per their standards. However, in exceptional & well-rooted cases, reach out to your personal learning manager with your concern. We will make certain that your concern gets resolved quickly.
The token amount is completely refundable if a candidate doesn't enroll in the program. There are no hidden terms and conditions. If the candidate enrolls for the program, then the token amount will be adjusted in the final fee.
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.
"PMP®","PMI®", "PMI-ACP®" and "PMBOK®" are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc.