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myPathshala

MongoDB Mastery

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Section 1: Home & Overview

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🏠 Home
📚 What is MongoDB?
💡 Why MongoDB?
🎯 Problems MongoDB Solves
🗺️ Learning Roadmap

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Section 2: NoSQL Foundations

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📜 Evolution of Databases
🔄 Types of NoSQL Databases
🌍 Distributed Systems
⚖️ CAP Theorem
⚗️ BASE vs ACID

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Section 3: Architecture

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📄 Document Data Model
💾 WiredTiger Storage
🔄 Read/Write Path
🔁 Replica Sets
🛠️ Ecosystem Tools

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Section 4: Installation

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🪟 Windows
🍎 macOS
🐧 Linux
🧭 Compass
💻 mongosh
☁️ Atlas
🔗 Connections

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Section 5: Basics

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📂 Databases & Collections
📝 Documents & BSON
✏️ CRUD Operations
🔍 Query Operators
📑 Sorting & Pagination
📑 Practical Example

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Section 6: Intermediate

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📦 Embedded Documents
🚀 Indexing
📊 Aggregation
🎨 Schema Design
📋 Governance

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Section 7: Advanced

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🔁 Replication
⚡ Sharding
💳 Transactions
⚡ Performance
🔒 Security
💾 Backup & Restore
📈 Observability

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Section 8: Distributed

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🌐 Why Distributed?
🔄 MongoDB Distributed
⚖️ MySQL vs MongoDB

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Section 9: Use Cases

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✅ When to Use
❌ When NOT to Use
⚖️ Comparisons

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Section 10: Programming

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🐍 Python
🟢 Node.js
☕ Java
🔷 Go

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Section 11: Projects

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📚 Student System
📖 Bookstore
🛒 E-commerce
🍕 Food Delivery
💬 Chat App
📡 IoT Platform

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Section 12: Practice

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📝 MCQs
🔍 Query Tasks
🎯 Output Prediction
🐛 Debugging
📋 Assignments

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Section 13: Interview

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💼 100+ Questions
🎭 Scenarios
🌐 Distributed Cases
⚖️ MongoDB vs SQL

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Section 14: Downloads

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📄 Commands
📊 Aggregation
🚀 Indexing
🎨 Schema Patterns
⚡ Sharding

Section 11: Projects

💻 Query Practice Tasks

Write MongoDB Queries to Solve Real-World Problems

Home› Section 12: Practice› Practice Query

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