Data Engineering Pipelines

This topic revolves around open-source tools and frameworks in the fields of data engineering and software engineering, focusing on dataflows, pipeline development, and machine learning operations. It covers a range of technologies such as XGBoost, Fugue, Hamilton, Feast, Meltano, Prefect, and more, offering solutions for tasks like enhancing classification models, orchestrating data workflows, and managing machine learning pipelines efficiently. The intersection of data engineering, software engineering, and machine learning practices is explored through a variety of tools and resources designed to streamline data processing and model deployment.