Foundations of Data Quality Management

Discover the essential principles of data quality management in the insightful book Foundations of Data Quality Management by Wenfei Fan. Published by Springer International Publishing AG in 2012, this paperback edition spans 201 pages, offering a comprehensive overview of key concepts in data quality.

In this book, you will explore vital topics such as conditional dependencies, data cleaning techniques, deduplication methods, and the importance of information completeness and currency. Each chapter delves into interactions between various data quality issues, equipping you with the knowledge to enhance your organization's data management practices.

Whether you are a data professional, researcher, or student, Foundations of Data Quality Management is an invaluable resource that will guide you in achieving high-quality data standards. Elevate your understanding of data quality and its critical role in today’s data-driven world.