Given the scale and complexity of the data quality field, data quality practitioners need a strong understanding of the fundamental concepts, principles, and terminology that are common in quality management. Building upon that foundation, they need to understand how quality management concepts and principles are applied to data and learn the language utilized in the data quality world. In this episode of The Learning Curve, data quality visionary David Wells provides an overview of the concepts, principles, practices, and terminology of the data quality field. Webcast duration is 20 minutes.