Inside the Architecture Powering Data Quality Management at Uber
Data Quality Monitor implements novel statistical methods for anomaly detection and quality management in large data infrastructures.
Jesus Rodriguez
Feb 10
“Data quality management is one of those often forgotten aspects of machine learning workflows. Small inconsistencies or missing values can have a drastic negative impact on the training of machine learning models.”