Course Overview
About Course
MongoDB is a modern, document-oriented NoSQL database known for its flexible schema, scalability, and developer-friendly features . This 40-hour training is designed for developers, DBAs, and data engineers who want to master MongoDB, from fundamentals to advanced operations.
The course begins with NoSQL concepts, MongoDB architecture, and setup, progressing through CRUD operations, BSON data types, and schema design strategies like embedding and referencing. Emphasis is placed on performance tuning: indexing, explain plan analysis, and the powerful Aggregation Framework offer deep query optimization techniques
High availability and scalability are covered via hands-on setup of replica sets and sharded clusters, with failover drills to build practical resiliency. Backups, restore procedures, and security best practices ensure robust operational knowledge. Integration modules demonstrate usage with Node.js (Mongoose), Python, and Java, enabling participants to seamlessly embed MongoDB in applications
The program concludes with monitoring, maintenance, and a capstone project where learners deploy a production-grade application, reinforcing end-to-end skills. By the end, participants will be equipped to design data models, tune performance, ensure availability, and integrate MongoDB confidently into real-world systems.
Course Syllabus
- Introduction to NoSQL & MongoDB (4 h)
- NoSQL vs RDBMS, fundamentals of document-oriented databases.
- Overview of MongoDB’s architecture, use cases, advantages
- Installation & Tools Setup (4 h)
- Installing MongoDB community/server and Atlas.
- Tools: mongo shell, MongoDB Compass GUI
- CRUD Operations & BSON Data Types (6 h)
- Insert, query, update, delete operations.
- Data types: BSON specifics, document structure
- Schema Design & Data Modeling (4 h)
- Modeling one-to-many, relationships, tree structures, embedding vs referencing
- Indexing & Query Optimization (6 h)
- Index types, creation strategies, performance tuning.
- Explain plans and query behavior
- Aggregation Framework (4 h)
- Pipeline stages: match, group, sort, lookup.
- Analytical queries and MapReduce overview
- Replication & High Availability (4 h)
- Replica set setup, automatic failover, node roles
- Sharding & Scalability (4 h)
- Sharded cluster concepts, shard keys, range vs hashed sharding
- Backup, Restore & Security (4 h)
- Backup strategies (mongodump), restore, authentication, role-based access .
- Monitoring, Performance & Maintenance (4 h)
- Metrics, ops manager, logging, monitoring, tuning best practices .
- MongoDB Drivers & Integration (4 h)
- Using with Node.js (Mongoose), Python (PyMongo), and Java.
- CRUD and schema mapping via drivers .
- Capstone & Real-World Use Cases (4 h)
- Build a production-grade app incorporating data modeling, HA, sharding.
- Deployment and operational scenario exercises.
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Key Features
- Hands-on labs: Real-time projects (scheduling, inventory) .
- Interactive tools: mongo shell, Compass.
- Performance workshops: Explain plans, indexing.
- HA drills: replication failover and sharding simulation.
- Security sessions: authentication, roles.
- Integration demos: Node, Python connectivity.
- Capstone project: End-to-end full-stack system.



