Sinossi
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.
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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.
Product Description
Book by Wang Richard Y Ziad Mostapha Lee Yang W
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 188 pp. Englisch. Codice articolo 9780792372158
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Buch. Condizione: Neu. Data Quality | Richard Y. Wang (u. a.) | Buch | xv | Englisch | 2000 | Springer | EAN 9780792372158 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102549729
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Condizione: New. Offers an expose of research and practice in the data quality field for technically oriented readers. This book is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other research institutions. It is useful for researchers, practitioners, educators and graduate students. Series: Advances in Database Systems. Num Pages: 167 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 12. Weight in Grams: 444. . 2000. Hardback. . . . . Codice articolo V9780792372158
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch. Codice articolo 9780792372158
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