Matteo Pancini

Engineering MLOps Pipelines With Data Quality: A Case Study on Tabular Datasets in Kaggle

2025 · Journal of Software Evolution and Process

ABSTRACT Ensuring high‐quality data is crucial for the successful deployment of machine learning models, thereby sustaining the operational pipelines around such models. However, a significant number of practitioners do not currently use data quality checks …