MongoDB Full Syllabus |

  1. Introduction to NoSQL & MongoDB
  • Explains difference between SQL and NoSQL databases.
  • Students learn why MongoDB is fast, flexible, and schema-less.
  • Covers installation of MongoDB and basic tools like Mongo Shell/Compass.
  1. MongoDB Architecture Basics
  • Teaches how MongoDB stores data using databases, collections, and documents.
  • Introduces BSON format, ObjectID, and flexible schemas.
  • Helps students understand how MongoDB handles large data efficiently.
  1. CRUD Operations (Create, Read, Update, Delete)
  • Students learn how to insert, find, update, and delete documents.
  • Practice using db.collection.insert(), find(), updateOne(), deleteOne().
  • Essential for all real-time applications and data handling.
  1. Data Types in MongoDB
  • Covers string, number, boolean, array, null, date, and ObjectId data types.
  • Students understand how MongoDB handles flexible data structures.
  • Helps in correct data storage and query design.
  1. Working with Queries
  • Teaches filtering using operators like $gt, $lt, $in, $and, $or.
  • Students learn to retrieve specific records efficiently.
  • Important for searching and filtering large collections.
  1. Indexing
  • Explains why indexes improve performance of queries.
  • Students learn to create and drop indexes on fields.
  • Covers single-field, compound, and unique indexes.
  1. Aggregation Framework
  • Introduces pipeline stages like $match, $group, $sort, $project.
  • Students learn data analysis and transformation inside MongoDB.
  • Useful for reports, charts, and analytical dashboards.
  1. Schema Design in MongoDB
  • Teaches embedding vs referencing documents (one-to-one, one-to-many).
  • Helps design optimized database structures for applications.
  • Students learn when to use normalized or denormalized designs.
  1. MongoDB with JavaScript (CRUD in Node.js)
  • Students connect MongoDB with Node.js using the MongoDB driver.
  • Learn to perform CRUD in real web apps.
  • Important step toward full-stack development.
  1. MongoDB Atlas (Cloud Database)
  • Students learn to create cloud clusters on Atlas.
  • Practice connecting applications to cloud databases.
  • Helps deploy real-time apps with global access.
  1. Data Validation & Security
  • Covers schema validation rules and user roles.
  • Students learn to restrict access using authentication.
  • Ensures applications are safe from unauthorized use.
  1. Backup & Restore
  • Teaches mongodump and mongorestore commands.
  • Students learn to protect and recover data.
  • Essential for database maintenance and safety.
  1. Replication & Sharding (Advanced)
  • Replication provides high availability using replica sets.
  • Sharding helps distribute large data across servers.
  • Students understand how MongoDB scales in large systems.
  1. Mini Project
  • Build a complete CRUD project using MongoDB + Node.js/Express.
  • Use collections, validation, queries, and aggregation.
  • Helps students apply skills in a real web application.
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