Data Quality: 23 - Brossura

Wang, Richard Y.

Brossura

ISBN 10: 1475774133 ISBN 13: 9781475774139

Casa editrice: Springer, 2013

Riassunto

Data Quality provides an exposé of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily for researchers, practitioners, educators and graduate students in the fields of Computer Science, Information Technology, and other interdisciplinary areas. It forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Written with the goal to provide an overview of the cumulated research results from the MIT TDQM research perspective as it relates to database research, this book is an excellent introduction to Ph.D. who wish to further pursue their research in the data quality area. It is also an excellent theoretical introduction to IT professionals who wish to gain insight into theoretical results in the technically-oriented data quality area, and apply some of the key concepts to their practice.

Su questo libro

Contenuti:

Preface. 1. Introduction. 2. Extending the Relational Model to Capture Data Quality Attributes. 3. Extending the ER Model to Represent Data Quality Requirements. 4. Automating Data Quality Judgment. 5. Developing a Data Quality Algebra. 6. The MIT Context Interchange Project. 7. The European Union Data Warehouse Quality Project. 8. The Purdue University Data Quality Project. 9. Conclusion. Bibliography. Index.

Su questa edizione

• Editore: Springer
• Data di pubblicazione: 2013
• ISBN 10: 1475774133
• ISBN 13: 9781475774139
• Rilegatura: Copertina flessibile
• Numero di pagine: 188