1️⃣Basics of MongoDB (Beginner)

🔹 What is MongoDB?

• NoSQL database, document-oriented
• Schema-less, stores data in JSON-like format (BSON)
• Flexible and scalable

🔹 Installation & Setup

• Install MongoDB (Community or Atlas for Cloud DB)
• Install MongoDB Compass (GUI tool for managing data)
• Start MongoDB server (mongod) and connect (mongosh)

🔹 Basic CRUD Operations in MongoDB Shell

• Insert data: insertOne(), insertMany()
• Read data: findOne(), find()
• Update data: updateOne(), updateMany()
• Delete data: deleteOne(), deleteMany()

🔹 Query Operators

• Comparison ($eq, $ne, $gt, $lt, $gte, $lte)
• Logical ($and, $or, $not, $nor)
• Array ($in, $nin, $all, $size, $elemMatch)
• Projection ({ field: 1 } to include, { field: 0 } to exclude)

✅ Goal: Understand how to store, retrieve, update, and delete documents.

2️⃣MongoDB with Node.js & Mongoose (Intermediate)

🔹 Connecting MongoDB with Node.js

• Use mongoose (ODM - Object Data Modeling)
• Connect with mongoose.connect()

🔹 Schemas & Models

• Define schemas in Mongoose
• Create models (User, Product, etc.)
• Use validations (required, default, enum)

🔹 CRUD Operations with Mongoose

• User.find(), User.create(), User.findByIdAndUpdate(), User.deleteOne()

🔹 Query Optimization with Indexing

• Creating indexes: db.users.createIndex({ email: 1 })
• Unique indexes: db.users.createIndex({ email: 1 }, { unique: true })
• Checking indexes: db.users.getIndexes()

✅ Goal: Learn how to integrate MongoDB with Node.js and perform CRUD operations efficiently.

3️⃣Aggregation & Advanced Queries (Advanced)

🔹 Aggregation Framework

• $match: Filter documents
• $group: Group by field (e.g., total orders per customer)
• $sort: Sorting results
• $project: Reshape data
• $lookup: Join collections (like SQL JOIN)

🔹 Transactions in MongoDB

• Multi-document ACID transactions (session.startTransaction())

🔹 Sharding & Replication (Scalability & Performance)

• Replica sets: Ensuring high availability
• Sharding: Scaling horizontally with large datasets

🔹 Security & Authentication

• Role-based access control (RBAC)
• Enable authentication (mongod --auth)
• Use MongoDB Atlas for managed security

✅ Goal: Learn how to handle large datasets, optimize performance, and secure the database.

4️⃣MongoDB with Full-Stack Applications

🔹 Backend Integration

• REST API with MongoDB (Node.js + Express)
• GraphQL with MongoDB

🔹 Frontend Integration

• React, Angular, or Vue with MongoDB
• Use axios or fetch() for API calls

🔹 Microservices & Cloud Databases

• Using MongoDB with Docker, Kubernetes
• Deploy on MongoDB Atlas

✅ Goal: Build and deploy full-stack applications with MongoDB.

Final Steps: Becoming a MongoDB Expert

✅ Master MongoDB best practices
✅ Work on real-world projects (e-commerce, blog, social media, etc.)
✅ Learn MongoDB administration (backups, monitoring, performance tuning)
✅ Get MongoDB Certified (optional but useful for jobs)

Summary of Your MongoDB Roadmap

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