MongoDB Roadmap – Learn NoSQL Database Development

From Basics to Advanced – Become a MongoDB Pro for Modern Applications

Basic overview

What is MongoDB?

Why Learn MongoDB?

Estimated time commitment for the roadmap.

Phases of the MongoDB Roadmap

Phase 1: Introduction to NoSQL and MongoDB

What is NoSQL?

Types of NoSQL Databases

Introduction to MongoDB

Use Cases and Real-World Applications

Installing MongoDB (Locally & Cloud via Atlas)

Phase 2: MongoDB Basics

MongoDB Architecture (Collections, Documents, BSON)

Creating and Dropping Databases

Creating Collections and Documents

Basic CRUD Operations (Insert, Read, Update, Delete)

Mongo Shell & MongoDB Compass

Phase 3: Working with Data

Data Types in MongoDB

Querying Data with find()

Projection and Filtering

Sorting and Pagination

Updating Documents with $set, $inc, $unset

Deleting Documents and Collections

Phase 4: Advanced Query Operators

Logical Operators ($and, $or, $not)

Comparison Operators ($eq, $gt, $lte)

Array and Embedded Document Queries

Aggregation Pipeline (Intro)

Phase 5: Schema Design and Data Modeling

Understanding Flexible Schema

Embedding vs Referencing Documents

Best Practices in Schema Design

Indexing and Performance Optimization

Data Validation with JSON Schema

Phase 6: Aggregation Framework

Introduction to Aggregation

$match, $group, $sort, $project

Lookup (Joins in MongoDB)

Working with Pipelines and Expressions

Real-world Reporting Use Case

Phase 7: Indexing and Performance Tuning

Types of Indexes (Single Field, Compound, Multikey)

Text Index and Search

Explain Plan & Query Optimization

TTL Indexes and Expiry of Data

Phase 8: MongoDB Security Essentials

User Roles and Access Control

Authentication and Authorization

IP Whitelisting and Network Rules

Data Encryption at Rest and in Transit

Phase 9: MongoDB Atlas & Cloud Services

Introduction to MongoDB Atlas

Cluster Creation and Management

Automated Backups and Monitoring

Connecting Atlas with Node.js or Python

Phase 10: MongoDB with Backend Languages

MongoDB with Node.js (Using Mongoose ODM)

MongoDB with Python (Using PyMongo)

CRUD Operations using APIs

Integrating MongoDB with Express/Flask Apps

Phase 11: MongoDB for Full Stack Apps

MongoDB in MERN Stack (MongoDB, Express, React, Node.js)

Real-time Apps with MongoDB and WebSockets

Project: Blog App / To-Do App with MongoDB

Phase 12: Real-World Projects

Build a RESTful API using MongoDB + Node.js

Inventory Management System

Chat App using MongoDB

Analytics Dashboard using Aggregation

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