SerenadeFlow is a powerful and flexible ETL (Extract, Transform, Load) pipeline framework designed to streamline data processing from both local and remote sources.
It Extracts data from diverse sources, Transforms it through customizable and reusable operations, and Loads it into your desired destination with minimal configuration.
Built to be the Swiss Army Knife of ETL solutions, SerenadeFlow offers a simple yet extensible architecture that makes data movement and transformation intuitive—whether you're a data engineer, analyst, or developer.
The project is configured to operate in Python >= 3.8 enviornments.
SerenadeFlow supports multiple output formats for your processed data:
The traditional CSV format is the default output format, providing wide compatibility with various tools and applications.
Parquet is a column-oriented storage format that offers compression and better performance for analytics workloads.