https://github.com/redgerd/fake-store

This project pulls data from the FakeStore API and uses an ETL (Extract, Transform, Load) script to transfer it into a Supabase PostgreSQL database. It also features a Node.js backend with GraphQL to query the data efficiently.
https://github.com/redgerd/fake-store

etl-pipeline fake-store-api graphql

Last synced: 8 days ago
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This project pulls data from the FakeStore API and uses an ETL (Extract, Transform, Load) script to transfer it into a Supabase PostgreSQL database. It also features a Node.js backend with GraphQL to query the data efficiently.

• Host: GitHub
• URL: https://github.com/redgerd/fake-store
• Owner: Redgerd
• Created: 2024-09-12T05:24:35.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-15T12:46:11.000Z (about 2 months ago)
• Last Synced: 2024-10-31T11:05:45.663Z (8 days ago)
• Topics: etl-pipeline, fake-store-api, graphql
• Language: JavaScript
• Homepage:
• Size: 7.62 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# E-commerce Data Integration and Backend with GraphQL

This project demonstrates the integration of e-commerce data from the [FakeStore API](https://fakestoreapi.com/) into a relational database (Supabase PostgreSQL), followed by building a backend using Node.js with GraphQL.

## Features

- Data fetching from the FakeStore API (a mock e-commerce API).

- Data transformation using ETL (Extract, Transform, Load) script.

- Storage of the transformed data in Supabase (PostgreSQL).

- Backend development using Node.js and GraphQL for querying and mutating the data.

## Project Structure

- **ETL Script**: Fetches and transforms e-commerce data (products, categories, etc.) from the FakeStore API and transfers it to a relational PostgreSQL database (hosted on Supabase).

  

- **Database**: Supabase PostgreSQL is used to store the e-commerce data in structured tables.

- **Backend**: Node.js is used to create a GraphQL API that allows querying and manipulating the data stored in the PostgreSQL database.

## Technologies Used

- **FakeStore API**: Source of mock e-commerce data.

- **Supabase**: PostgreSQL database hosting and management.

- **Node.js**: Backend runtime for building the server.

- **GraphQL**: API query language for efficient data fetching.

- **ETL (Extract, Transform, Load)**: Script for data transformation and loading into the database.