Data Quality - Yang W. Lee,Richard Y. Wang,Mostapha Ziad
-20% with code BOOKS
Shipping in 17-23 days
30-day return policy
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 Techn ... Full description
You May Also Like
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-20% with code BOOKS
In stock at our supplier
TOP
Many Faces, One Purpose: A Managers Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-20% with code BOOKS
Out of stock
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-20% with code BOOKS
Out of stock
TOP
Medizinisches Englisch pocket
-20% with code BOOKS
In stock at our supplier
TOP
How Africa Works: Success and Failure on the World's Last Developmental Frontier
-20% with code BOOKS
In stock at our supplier
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-20% with code BOOKS
In stock at our supplier
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-20% with code BOOKS
In stock at our supplier
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-20% with code BOOKS
In stock at our supplier
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-20% with code BOOKS
In stock at our supplier
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-20% with code BOOKS
In stock at our supplier
TOP
Thinking in Systems: International Bestseller
-20% with code BOOKS
In stock at our supplier
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-20% with code BOOKS
In stock at our supplier
TOP
Cybernetics: Second Edition: Or the Control and Communication in the Animal and the Machine
-20% with code BOOKS
In stock at our supplier
TOP
Empty Vessel: The Story of the Global Economy in One Barge
-20% with code BOOKS
In stock at our supplier
TOP
101 Things I Learned in Architecture School
-20% with code BOOKS
In stock at our supplier
TOP
Einhundert Zitate Female Edition: Ein Postkartenbuch mit 100 Zitaten
-20% with code BOOKS
In stock at our supplier
TOP
Only Dull People Are Brilliant at Breakfast
-20% with code BOOKS
In stock at our supplier
Description
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.
More Information
| Author | Yang W. Lee, Richard Y. Wang, Mostapha Ziad |
|---|---|
| Publisher | Springer US |
| Series | Advances in Database Systems |
| Release year | 2000 |
| Cover type | Hardcover |
| EAN | 9780792372158 |