MongoDB Mastery

MongoDB & NoSQL

Master Document-Based Database Development. Learn Collections, Documents, CRUD Operations, and the Aggregation Pipeline for Scalable Applications.

Flexible Schema DesignHigh Performance CRUDPowerful Data AggregationReal-World Applications
MongoDB + Node.js + Express Example
const express = require(‘express’);
const mongoose = require(‘mongoose’);

// Create Express app
const app = express();
app.use(express.json());

// Connect to MongoDB
mongoose.connect(‘mongodb://localhost:27017/blog-api’, {
    “useNewUrlParser”: true,
    “useUnifiedTopology”: true
});

// Define a MongoDB Schema
const postSchema = new mongoose.Schema({
    “title”: String,
    “content”: String,
    “tags”: [String],
    “createdAt”: { type: Date, default: Date.now }
});

const Post = mongoose.model(‘Post’, postSchema);

// Define a simple route
app.get(‘/’, async (req, res) => {
    const posts = await Post.find().limit(5);
    res.json({
        “message”: ‘MongoDB API Running!’,
        “recentPosts”: posts,
        “timestamp”: new Date()
    });
});

// Start server
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
    console.log(`MongoDB API server running on port ${PORT}`);
});

MongoDB Fundamentals

Master the core concepts and architecture of MongoDB

1 Introduction to NoSQL Databases

  • What is MongoDB & its advantages
  • Understanding the Document Model
  • Installing MongoDB & MongoDB Compass
  • Running your first MongoDB commands

2 MongoDB Architecture

  • Document-oriented database architecture
  • BSON data format
  • Collections vs Documents
  • Sharding and replication

3 Core Concepts

  • Data Types in MongoDB
  • Creating databases and collections
  • Embedding vs Referencing
  • Indexing strategies

MongoDB Development

Build robust database systems with MongoDB operations

4 CRUD Operations

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

5 Query System

  • Query operators ($gt, $lt, $in, $nin)
  • Filtering, Sorting & Projections
  • Working with arrays and embedded documents
  • Text search and regular expressions

6 Database Integration

  • MongoDB with Node.js (Mongoose)
  • MongoDB with Python (PyMongo)
  • Connection pooling
  • Error handling and retries

Advanced MongoDB

Advanced queries, aggregation, and production deployment

7 Aggregation Pipeline

  • Pipeline stages overview ($match, $group, $project)
  • Data transformation with $unwind, $lookup
  • Building analytical queries
  • Performance optimization

8 Indexing & Performance

  • Creating and managing indexes
  • Compound and text indexes
  • Query optimization
  • Explain plans and profiling

9 Real-World Applications

  • Designing a Blog Database (Users, Posts, Comments)
  • E-commerce product catalog
  • User activity tracking
  • Real-time analytics

Final Projects

Build real-world MongoDB applications

Blog Platform with MongoDB

  • User authentication system
  • CRUD operations for posts and comments
  • Tag-based filtering
  • Full-text search implementation

E-commerce Analytics Dashboard

  • Sales data aggregation
  • Real-time inventory tracking
  • Customer behavior analysis
  • Performance monitoring

Deployment Platforms

Deploy your MongoDB applications to production

MongoDB Atlas

  • Managed MongoDB cloud service
  • Auto-scaling and backups
  • Security and compliance
  • Monitoring and alerts

Self-Hosted MongoDB

  • Docker deployment
  • Replica set configuration
  • Backup and restore strategies
  • Performance tuning

Ready to Master MongoDB?

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