Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances in Database Systems)
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Description
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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. |
Other books on Databases
Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL (The Morgan Kaufmann Series in Data Management Systems) Handbook of Database Security: Applications and Trends Database Programming Languages: 11th International Symposium, DBPL 2007, Vienna, Austria, September 23-24, 2007, Revised Selected Papers (Lecture Notes in Computer Science) The Berkeley DB Book (Books for Professionals by Professionals) Architecture of a Database System Data Modeling Fundamentals: A Practical Guide for IT Professionals Database System Concepts Applied Mathematics for Database Professionals (Expert's Voice) Contemporary Issues in Database Design and Information Systems Development (Advances in Database Research Series) (Advances in Database Research Series) Physical Database Design: the database professional's guide to exploiting indexes, views, storage, and more (The Morgan Kaufmann Series in Data Management ... Kaufmann Series in Data Management Systems) Databases and Information Systems IV: Selected Papers from the Seventh International Conference DB&IS'2006 - Volume 155 Frontiers in Artificial Intelligence and Applications Data Lifecycles: Managing Data for Strategic Advantage IBM DB2 9 New Features Beginning Database Design: From Novice to Professional Stream Data Management (Advances in Database Systems)
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