NoSQL & Big Data Courses: MongoDB

• What is NoSQL?
• Types of NoSQL databases
• Overview and features of MongoDB
• Installation and setup of MongoDB and tools

• MongoDB architecture and components
• Databases, collections, and documents
• Data types in MongoDB
• Basic CRUD operations (Create, Read, Update, Delete)

Document structure and nesting

Designing flexible schemas

Embedding vs referencing

Best practices in data modeling

Creating and managing indexes

Types of indexes (single, compound, text, etc.)

Query performance analysis

Explain plans and optimization

• Introduction to pipelines and stages
• Common aggregation operations (group, match, sort, project)
• Data transformation and reporting
• Hands-on examples using real datasets

• Data validation and schema enforcement
• Authentication and authorization
• Role-based access control (RBAC)
• Backups and data recovery

• Setting up replica sets
• Automatic failover and data redundancy
• Introduction to sharding and horizontal scaling
• Partitioning data in large-scale applications

MongoDB with Python (PyMongo) or Node.js (Mongoose)

Connecting applications to MongoDB

Performing queries and updates via code

Building CRUD APIs using MongoDB

• End-to-end MongoDB project (e.g., e-commerce, analytics)
• Applying CRUD, indexing, aggregation, and modeling
• Final quiz or practical exam
• Certificate of completion