MongoDB Training

MongoDB is a flexible and scalable document-based NoSQL database, widely used in modern application architectures. This intensive 3-day classroom training provides hands-on experience from basic CRUD operations to advanced data modeling, indexing, sharding, replication, and real-world application integration.

• Basic understanding of SQL or NoSQL databases

• Programming background (e.g., JavaScript or Python)

• Comfort using terminal/command-line tools is helpful

This training is ideal for:

• Software and backend developers

• Database administrators (DBAs)

• DevOps and IT operations engineers

• Data analysts and BI professionals

Module 1: Introduction to NoSQL & MongoDB

• NoSQL database types and characteristics

• MongoDB architecture and use cases

• JSON vs BSON data formats

• Lab: Create structured document schema with JSON

Module 2: Installation & Tools

• MongoDB setup: local and MongoDB Atlas (cloud)

• Using Mongo Shell and Compass GUI

• Lab: Set up free cloud cluster and connect with Compass

Module 3: CRUD Operations

• Create, Read, Update, Delete documents

• Filters, projections, sort(), limit()

• Lab: Build a user management CRUD demo

Module 4: Data Modeling & Schema Design

• Embedded vs Referenced document models

• Normalization/denormalization strategies

• Data relationship design in MongoDB

• Lab: Blog-posts and comments relation mapping

Module 5: Indexing for Performance

• Index types: single, compound, TTL, text

• Performance tuning with explain()

• Lab: Measure query time before and after indexing

Module 6: Data Validation & Security

• JSON schema validation

• Role-based access control (RBAC)

• User creation and secure authentication

• Lab: Build RBAC roles and simulate permission denial

Module 7: Replication, Backup & Sharding

• Replica set concepts and node types

• High availability with failover

• Sharding for distributed scale

• Lab: Setup 3-node replica set and test failover

Module 8: Aggregation Framework

• Aggregation pipeline structure

• Operators: $match, $group, $project, $lookup

• Lab: Generate revenue reports using $group and $sum

Module 9: App Development with MongoDB

• Integration with Node.js (Mongoose ORM)

• Python integration using PyMongo

• Building REST APIs with Express.js

• Lab: Develop login/register backend using MongoDB

Module 10: Monitoring & Troubleshooting

• Performance insights and slow queries

• Query profiler and logging

• MongoDB Atlas monitoring tools

• Lab: Debug real query with profiler and logs