Data Quality

By: Richard Y. Wang, Mostapha Ziad, Yang W. Lee

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Hardcover | 30 November 2000

At a Glance

Hardcover
188 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

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Data Quality provides an expos© 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.

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Non-Fiction Computing & I.T.Computer Science Databases Computer Hardware Maintenance & Repairs Computer Programming & Software Development Algorithms & Data Structures

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Paperback

Published: 7th April 2013

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Preface
Introduction
Extending the Relational Model to Capture Data Quality Attributes
Extending the ER Model to Represent Data Quality Requirements
Automating Data Quality Judgment
Developing a Data Quality Algebra
The MIT Context Interchange Project
The European Union Data Warehouse Quality Project
The Purdue University Data Quality Project
Conclusion
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

Data Quality

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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