A structured guide to mastering MongoDB, from fundamentals to advanced concepts
- MongoDB Community Server
- MongoDB Shell (mongosh)
- Node.js (v16+ recommended)
-
Windows:
- Download and run the MSI installer from MongoDB Download Center
- Follow the installation wizard
-
macOS:
brew tap mongodb/brew brew install mongodb-community
-
Ubuntu/Debian:
sudo apt-get install -y mongodb
mongod --version
mongosh --version- Day 1: Setup & Basics
- MongoDB installation
- Basic commands
- Database and collection operations
- Day 2: CRUD Operations
- Insert one/many, find/findOne with projection
- Update one/many with $set
- Delete one/many, bulk operations, common mistakes
- Day 3: Query Methods & Operators
- Cursor methods: limit, skip, sort
- Logical operators: $and, $or, $not, $nor
- $expr usage (computed comparisons)
- Element & array operators: $exists, $type, $size, $elemMatch, $all
- Day 4: Advanced Querying & Projections
- Projection techniques and field selection
- Embedded document queries with dot notation
- Array querying with $size, $all, $elemMatch
- Update operations: updateOne, updateMany
- Field renaming with $rename and deletion with $unset
- Day 5: Indexing & Performance
- Query performance analysis with explain()
- Understanding COLLSCAN vs IXSCAN
- Creating and managing indexes
- Index types: single field, compound, text, partial
- Best practices for when to use/avoid indexes
- Day 6: Aggregation Framework
- Complete aggregation pipeline operators reference
- Stage operators: $match, $project, $group, $sort, $limit, $lookup
- Expression operators: arithmetic, comparison, logical, string, date, array
- Advanced patterns: optimization, conditional aggregation, faceted search
- Best practices and performance considerations
By completing this 6-day MongoDB journey, you'll master:
- Database Fundamentals: Setup, CRUD operations, and basic querying
- Advanced Querying: Complex filters, projections, and embedded document queries
- Performance Optimization: Indexing strategies and query performance analysis
- Data Aggregation: Complete aggregation framework with real-world patterns
- Production Best Practices: Error handling, security, and optimization techniques
This series covers all essential MongoDB concepts needed for production applications. After completing all 6 days, you'll be equipped to build robust, scalable applications with MongoDB.
- MongoDB Compass - GUI for MongoDB
- MongoDB Charts - Data visualization
- MongoDB Database Tools - Command-line tools
This project is licensed under the MIT License - see the LICENSE file for details.
Made with ❤️ by Kush Kumar