https://github.com/rajkumar-35/mongodb-queries-task

Creating MongoDB queries for data manipulation and retrieval from the products collection, based on product.json, for GUVI Zen class Day-35 task.
https://github.com/rajkumar-35/mongodb-queries-task

crud-operation datafiltering mongodb mongodb-database

Last synced: 2 months ago
JSON representation

Creating MongoDB queries for data manipulation and retrieval from the products collection, based on product.json, for GUVI Zen class Day-35 task.

• Host: GitHub
• URL: https://github.com/rajkumar-35/mongodb-queries-task
• Owner: RAJKUMAR-35
• Created: 2024-07-19T17:20:25.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-07-20T04:48:40.000Z (5 months ago)
• Last Synced: 2024-10-10T05:40:16.939Z (2 months ago)
• Topics: crud-operation, datafiltering, mongodb, mongodb-database
• Homepage: https://github.com/rvsp/database/blob/master/mongodb/product.json
• Size: 876 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MongoDB-Task-1

## Overview

A comprehensive set of MongoDB queries to manipulate and retrieve data from the products collection. This repository contains a set of MongoDB queries to perform various operations on the products collection based on the `product.json` data.

![Preview Image](Images/demo.png)

**JSON Data**

```bash

https://github.com/rvsp/database/blob/master/mongodb/product.json

```

## Key Concepts

- Database Creation

- CRUD Operations

- Data Filtering and Projection

- Sorting and Limiting Results

- Aggregation Basics

## Lessons Learned

- Creating databases and collections

- Performing CRUD operations

- Using comparison operators for data filtering

- Limiting and counting query results

- Applying projections to retrieve specific fields

- Deleting documents based on criteria

- Importing and exporting data

- Introduction to the aggregation framework

## Conclusion

This task provided a solid foundation in MongoDB, covering essential operations and techniques for efficient data management. It enhanced my understanding of database creation, CRUD operations, data filtering, and aggregation.

## Contact

For any inquiries or feedback, please contact:

- Email: [email protected]

- LinkedIn: [Rajkumar A](https://www.linkedin.com/in/rajkumar-cse/)