DSU Online University - Master Your Future

What are you looking for	Online Degree
UGC & DEB Approved	Yes
Approved for Higher Education in India	Yes (Ph.D, PG)
Fees	Low as compared to On Campus
Education Quality	At par with On Campus learning
Global Recognition	Yes
Learning Mode	Completely Online at Flexible Pace
Learning Session	Pre recorded + Live Session over weekend

Advance Your Skills

Advanced Database (NoSQL)

Schema-less data modeling | real-time & big data handling | MongoDB & Cassandra | backend data pipelines

Duration

3 Years

(6 Semesters)

Fees / Semester

INR 20,000

Total Fees

INR 1,20,000

About Advanced Database (NoSQL)

This elective explores non-relational, high-performance databases widely used in big data and real-time applications such as search engines, social media, and scalable backend systems. You will gain skills in schema-less data modeling, handling real-time and big data use cases, and working with databases like MongoDB and Cassandra. This course prepares you for roles such as NoSQL Data Engineer Intern, Big Data Support Analyst, and Backend Developer, giving you hands-on experience with modern, scalable data systems used by top-tier tech firms.

Learning Modules

Introduction to NoSQL

Understand non-relational databases, differences from SQL, key-value, document, column, and graph database types.

Big Data & Real-Time Systems

Learn to handle high-volume, high-velocity data, real-time processing, and scalable storage techniques.

Schema-less Data Modeling

Design flexible database schemas for dynamic applications and optimize storage for large datasets.

MongoDB & Cassandra Concepts

Work with popular NoSQL databases, CRUD operations, indexing, replication, sharding, and performance optimization.

Performance Monitoring & Security

Monitor database performance, backup & recovery, and implement security best practices for NoSQL systems.

Career Path

🗄️

NoSQL Data Engineer Intern

Work on designing and managing schema-less databases, handling real-time data, and ensuring scalability for modern applications.

⚡

Big Data Support Analyst

Support big data pipelines, monitor database performance, and optimize NoSQL systems for real-time analytics and high-volume workloads.

🛠️

Backend Developer (NoSQL)

Integrate NoSQL databases into applications, develop APIs, manage data storage, and ensure smooth backend operations for scalable systems.

📊

Database Performance Analyst

Monitor and tune NoSQL database performance, analyze bottlenecks, and implement best practices for high-availability systems.

🔐

NoSQL Security Specialist

Implement security best practices, manage access permissions, and ensure data protection in distributed NoSQL environments.

Awards and Recognitions

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