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MERN Stack + (Nest.js & Next.js) 7 Sections14 Lessons4 Weeks

Curriculum

  • 7 Sections
  • 14 Lessons
  • 4 Weeks
Expand all sectionsCollapse all sections
  • M (MongoDB)
    2 Items
    Basics
    • 1.1
      Introduction to MongoDB
      30 Minutes
    • 1.2
      MongoDB Tutorials
  • E (Express)
    2 Items
    Basics
    • 2.1
      Introduction to Express.JS
      60 Minutes
    • 2.2
      Getting Started with Express.js: Your First Web Server
      45 Minutes
  • R (React)
    2 Items
    Basics
    • 3.1
      introduction to React
      45 Minutes
    • 3.2
      React.js Tutorials
      30 Minutes
  • R (React-Native)
    2 Items
    Basics
    • 4.1
      Introduction to React-Native
      45 Minutes
    • 4.2
      React-Native Tutorials
      60 Minutes
  • N (Node.Js)
    2 Items
    Basics
    • 5.1
      Introduction to Node.js
      40 Minutes
    • 5.2
      Node.js Tutorials
      60 Minutes
  • N (Nest.js - FE)
    2 Items
    Basics
    • 6.1
      introduction to Nest.js
      40 Minutes
    • 6.2
      Nest.js Tutorials
      60 Minutes
  • N (Next.js)
    2 Items
    Basics
    • 7.1
      Introduction to Next.js
      45 Minutes
    • 7.2
      Next.js Tutorials
      60 Minutes

Introduction to MongoDB

Introduction to MongoDB: Summary

MongoDB is a popular NoSQL database designed for flexibility, scalability, and high performance. It stores data in JSON-like documents (BSON), allowing for a dynamic schema that can evolve over time without downtime. This document-oriented model facilitates complex data representation and supports various data types within the same collection.

Key Features:

  • Document-Oriented Storage: Data is stored in flexible documents rather than fixed rows and columns.
  • Schema Flexibility: Allows for changes to the data structure without affecting existing data.
  • Scalability: Supports horizontal scaling through sharding, distributing data across multiple servers.
  • High Performance: Fast data retrieval and manipulation thanks to efficient indexing.
  • Rich Query Language: Provides powerful querying capabilities, including filtering, sorting, and aggregation.
  • Built-in Replication: Ensures high availability and data redundancy through replica sets.

Use Cases:

  • Content management systems
  • Real-time analytics applications
  • E-commerce platforms
  • Social networks

Getting Started:

To begin with MongoDB, you can install it locally or use MongoDB Atlas, a cloud-based service. Basic commands include starting the MongoDB server, accessing the shell, creating databases, and inserting documents.

In summary, MongoDB offers a robust solution for modern application development, making it a preferred choice for developers looking to build scalable and flexible data-driven applications.

MongoDB Tutorials
Next

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