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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekends

Course Overview

Investment interests are being observed by companies of all sizes in building Big Data capabilities to add value to their core business operations. Thus, the demand for Big Data Engineers skilled in Arithmetic, Business Management, and Technology is experiencing incremental developments. Moreover, especially applicable in developing nations, there is a lack of aptly skilled Big Data Engineers. Hence, recruiters are usually left with vacant spots in their organizations. This is where they are willing to chalk out very impressive remunerations for professionals in this field.

Globally, the advent of data and the kind of insights it can bring about is gold-dust, thereby catching the attention of businesses. Moreover, the quantum of data being tapped into has come a long way in the last 5 years and is only increasing every quarter. Additionally, there needs to be systems in place that can extract actionable insights from the data. It is then that it benefits the organization in its truest sense.

The Post Graduate Certification Program in Big Data Engineering will introduce the participants to the role of Linux, SQL, and Java in this arena. Moreover, there will be two Mid-Program projects and a final Industry-grade exposure. These facets will enable students to have a very realistic experience. Moving on, the Big Data Engineering program will dwell into the building blocks for big data, followed by Distributed and Parallel computing.

The Highlights

Nine months program
450 hours of learning
Weekend classes
Over 100 case studies

Programme Offerings

Online Classes
2 way Interaction
450+ hours of learning
Industrial grade Project

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	NIT RourkelaEdureka

The tuition fee is as follows:

Program Fee	Rs. 1,97,500
EMI	Rs. 12,000 per month

Eligibility Criteria

Education

Students from the science stream in grade-12, having graduated with a Bachelor's Degree from college, and an avid interest in Big Data may apply.

What you will learn

Machine learningSQL knowledgeKnowledge of Apache Spark

The Post Graduate Certification Program in Big Data Engineering with enabling the students to have a strong grasp on the following topics:

The basic underlying principles of SQL, Linux, and Java
Develop a deep understanding of Big Data, Data Structures, and Algorithms
An introduction to distributed and parallel computing
Gain a deep understanding of advanced hive concepts
Explore digital disruptions of Big Data models
Expertise to transform businesses with large-scale data warehousing
Get a bird’s eye view of designing a scalable data pipeline
Strategies to invest in Big Data Analytics

Who it is for

Data AnalystData ScientistBig Data DeveloperBig Data Analytics Engineer

The Post Graduate Certification Program in Big Data Engineering at NIT Rourkela consists of a strong focus for the newly experienced, aspiring to formalize their learning. The following groups of students will benefit the most from this program:

Early professionals looking to transition into the realm of Big Data
Graduates looking for a specialized curriculum for Big Data Engineering
Data Science professionals looking to further their skill sets

Admission Details

The admission steps are briefly outlined in the following section:

Registration:

Please share details through a short form on our website

Program Application:

Next, tell us about your academic history, work experience, and other relevant aspects in more detail. The format has been kept fairly simple to navigate.

Interview:

This stage involves an online interview with industry experts who gauge your passion and capacity for the program. Choose an interview date from the available slots and pay the interview booking fee of Rs. 1,000.

Scholarship and Offer Letter:

Based on the previous steps, the final offer may be made. If an offer is extended, be rest assured that it has also been considered for a scholarship. Thus, the offer has been vetted from all aspects and can thus be interpreted as complete.

For more information please contact:

Phone Number: +91-804-042-3805
Email: bigdata.pgp@edureka.co

Application Details

The Application form is linked on the program page. A fairly straightforward form opens up where the applicant would be required to enter their educational and professional background.

The Syllabus

Career Assistance Services
Workshop

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

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

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

Interview Preparation Question Bank

Instructors

NIT Rourkela Frequently Asked Questions (FAQ's)

1: What are the support functions that will be made available to students in the Big Data Engineering course?

The course structure has been designed with dedicated doubt-clearing sessions. Be rest assured that the faculty will be with you all along.

2: What is the recourse if I miss a class?

The recording of the class is provided within 12 hours from when the class finishes. Moreover, there will be round the clock technical support.

3: What are the class schedule and the commitment needed?

The classes are held on the weekends. Apart from these, it is advised that the students put in 9 to 10 hours per week.

4: What is the scholarship application process?

The applicant needn’t apply for scholarships. Each application is considered for it as part of the process. There are no guarantees that it will be offered.

5: Are there any internships in the Data Science program?

There are two Mid-program projects as well as an Industrial grade project designed into the courseware. Big Data Engineering applications will be introduced.

6: Are there any financing options available?

Yes, our course has partnerships with select banks. Please approach the admissions team to get further details.

7: Which are some of the applications of Big Data that will be discussed?

Forecasting trends and demand, Customer retention strategy, and Predictive Analytics and Fraud detection are the three sectors that will be handled along with the program.