Music ETL

Music ETL (Extract, Transform, Load) project is designed to extract music data from various sources, transform the data into a usable format, and load it into a database for analysis.

Features

• Extract music data from different sources (e.g., APIs, CSV files)
• Transform data into a consistent format
• Load data into a database
• Simple and extensible architecture

Requirements

• Python 3.8+
• pandas
• SQLAlchemy

Installation

1. Clone the repository:

git clone https://github.com/yourusername/Music_ETL.git
cd Music_ETL

2. Install the required packages:

pip install -r requirements.txt

Usage

1. Configure your data sources and database connection in config.yaml.
2. Run the ETL pipeline:

python etl.py

Project Structure

• extract/: Contains modules for extracting data from different sources.
• transform/: Contains modules for transforming the extracted data.
• load/: Contains modules for loading the transformed data into a database.
• config.yaml: Configuration file for data sources and database connection.
• etl.py: Main script to run the ETL pipeline.

License

This project is licensed under the MIT License.