Luigi
Luigi is an open-source Python framework for building complex, batch-oriented data pipelines. It helps developers manage task dependencies, workflow scheduling, and failure handling in data processing jobs, commonly used in data engineering and ETL (Extract, Transform, Load) processes. It was originally developed at Spotify to handle large-scale data workflows and provides a simple way to define tasks and their dependencies in code.
Developers should learn Luigi when they need to create robust, maintainable data pipelines for batch processing, such as aggregating logs, generating reports, or preparing data for machine learning models. It is particularly useful in scenarios requiring dependency management, error recovery, and workflow visualization, making it a good choice for data engineering teams in companies like Spotify, Foursquare, and Stripe that handle large datasets.