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https://github.com/vibhudixit-2215001940/database-learning

✌️This Database-learning repository contains code examples and notes from my journey of learning MongoDB. It covers essential MongoDB concepts such as CRUD operations, indexing, aggregation, transactions, and best practices. The repository includes practical code snippets demonstrating various MongoDB operations and highlights key learnings.
https://github.com/vibhudixit-2215001940/database-learning

crud database-management mongodb mongoose

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✌️This Database-learning repository contains code examples and notes from my journey of learning MongoDB. It covers essential MongoDB concepts such as CRUD operations, indexing, aggregation, transactions, and best practices. The repository includes practical code snippets demonstrating various MongoDB operations and highlights key learnings.

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README 

        
# Database-learning: MongoDB



Welcome to the **Database-learning** repository! This repository contains all the code and notes I have compiled while learning about **MongoDB**. The goal is to provide insights into MongoDB's concepts, operations, and best practices, as well as a record of my learning journey.



---



## 📚 Table of Contents



- [About](#about)

- [Installation](#installation)

- [Learning Notes](#learning-notes)

- [Code Examples](#code-examples)

- [Resources](#resources)

- [License](#license)



---



## 📖 About



This repository serves as a collection of the work and notes I have generated while learning **MongoDB**, a popular NoSQL database. I am documenting the following:



- MongoDB fundamentals: database design, collections, documents

- CRUD operations (Create, Read, Update, Delete)

- Indexing, Aggregation, and other advanced features

- Best practices and performance optimizations



The repository includes:

- **Code snippets** that demonstrate various MongoDB operations.

- **Learning notes** that summarize key concepts, commands, and practices.

- **Example projects** that apply MongoDB in real-world use cases.



---



## 🛠️ Installation



To get started with the code and examples in this repository, you'll need **MongoDB** installed on your machine.



### Requirements:

- [MongoDB](https://www.mongodb.com/try/download/community) installed and running locally or via a cloud service like [MongoDB Atlas](https://www.mongodb.com/cloud/atlas).

- **Node.js** (optional, for running the JavaScript code examples)



### Steps to set up:



1. Clone this repository to your local machine:

    ```bash

    git clone https://github.com//Database-learning.git

    ```



2. Navigate to the repository:

    ```bash

    cd Database-learning

    ```



3. If using JavaScript code examples with MongoDB, install the necessary dependencies:

    ```bash

    npm install mongodb

    ```



4. Follow the examples in the **Code Examples** section to get started with MongoDB operations.



---



## 📝 Learning Notes



In this section, you will find my notes on MongoDB, covering various topics that I have studied. Some of the core concepts include:



- **MongoDB Basics**

  - Databases, Collections, and Documents

  - Data types in MongoDB

  - Primary keys and ObjectId

  - Schema-less nature of MongoDB

  

- **CRUD Operations**

  - Insert, Find, Update, Delete

  - Handling errors and validation



- **Indexes**

  - Indexing basics and performance optimization

  - Compound indexes, Geospatial indexes



- **Aggregation**

  - Introduction to the aggregation pipeline

  - Using `$match`, `$group`, `$project`, `$sort`



- **Transactions** 

  - ACID properties in MongoDB

  - Using multi-document transactions



For detailed learning, please refer to the respective **notes** files in the repository.



---



## 💻 Code Examples



This repository contains a variety of code examples to demonstrate MongoDB operations:



- **Basic CRUD Operations**: Code for performing Create, Read, Update, and Delete operations on MongoDB.

- **Aggregation Queries**: Example code demonstrating the power of the aggregation framework.

- **Database Connection**: How to connect to MongoDB using both local and cloud (Atlas) setups.

- **Indexing & Performance**: Code to demonstrate the use of indexes for improving query performance.

  

You can find these examples in the `/code` folder.



---



## 🔗 Resources



Below are some resources that I found helpful while learning MongoDB:



- **Official MongoDB Documentation**: [https://www.mongodb.com/docs](https://www.mongodb.com/docs)

- **MongoDB University**: [https://university.mongodb.com/](https://university.mongodb.com/)

- **MongoDB Atlas**: [https://www.mongodb.com/cloud/atlas](https://www.mongodb.com/cloud/atlas)

- **MongoDB Aggregation Pipeline**: [https://www.mongodb.com/docs/manual/core/aggregation-pipeline](https://www.mongodb.com/docs/manual/core/aggregation-pipeline)



---



## 📄 License



This repository is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.



---



Feel free to explore the repository, contribute, or raise any issues. Happy learning!