Increased awareness of these impacts has led to major public initiatives like the "Data Quality Act" in the United States and the "European 2003/98" directive of the European Parliament. Batini and Scannapieco presents a comprehensive and systematic introduction to the set of issues related to data quality. They began with a detailed explanation of the different dimensions of data quality, such as accuracy, completeness, and consistency, and their interests in various types of data, such as data federation, Web data, or data depending on time, and in different data categories classified according to frequency changes , such as changing data is stable, long-term, and often. The book's full explanation about the techniques and methodology of the study's core data quality as well as from related fields such as data mining, probability theory, statistical data analysis, and machine learning provide an excellent overview of the current state of the art. This presentation comes with a brief description and critical comparison of tools and practical methodologies, which will help readers to solve their own problems of quality. This book is an ideal combination of theoretical health foundation and practical application of the approach.