The objective of Developing Quality Complex Database Systems is to provide opportunities for improving today's database systems using innovative development practices, tools and techniques. Each chapter of this book will provide insight into the effective use of database technology through models, case studies or experience reports. An emphasis is placed on organizational and management issues associated with the use of such technology inclusive of lessons learned and best practices.
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Book Description
Editorial Reviews
Review
Each chapter provides insight into effective use of database technology through models, case studies, or experience reports. -- Book News, Inc., 5-29-01
Opportunities are explored for improving database systems using innovative development practices, tools and techniques. -- Business Horizons, January-February 2002
The book presents an interesting and comprehensive set of topics relating to database systems. -- Ram Kumar, University of North Carolina - Charlotte
Opportunities are explored for improving database systems using innovative development practices, tools and techniques. -- Business Horizons, January-February 2002
The book presents an interesting and comprehensive set of topics relating to database systems. -- Ram Kumar, University of North Carolina - Charlotte
About the Author
Dr. Shirley A. Becker received her MBA from St. Cloud State University and an MS and PhD in information systems from the University of Maryland at College Park. Dr. Becker is a professor of computer science at Florida Institute of Technology, Melbourne, Florida and co-director of its Software Engineering Research Center. Dr. Becker's funded research includes web usability and testing, web-enabling tools and technologies, e-commerce systems development, and database systems. She has edited several books and published numerous articles and book chapters in these areas. Dr. Becker recently served as editor of the Journal of Database Management, and serves on several ediormaal review boards. She is a member of IEEE, ACM, and AWC.
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Inside This Book
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First Sentence:
This chapter presents a concept for the evaluation of data modeling which is based on existing theoretical approaches and three empirical studies conducted or supervised by the author. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
dynamic hypermedia engine, total query processing cost, specialized entity types, database schema graph, advanced query processing, extensional answer, horizontal class partitioning, intensional answers, hypermedia functionality, index spy, values subquery, reference data models, triggering graph, open hypermedia systems, virtual hierarchies, join graph, maximal concepts, multidimensional data model, hypermedia support, loader module, materialized views, application wrapper, inclusion dependencies, conventional query, hypermedia services Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Idea Group Publishing, Data Engineering, New York, Prentice Hall, System Sciences, Focused Logistics, Message Manager, New Jersey Institute of Technology, San Francisco, Addison Wesley, United States, Car Year, Department of Defense, Englewood Cliffs, Morgan Kaufmann Publishers, Oracle Corporation, Red Brick Systems, Relational Database Wrapper Module, Supplier Name, Honda AND Cylinders, International Workshop, Object Query Language, Optimized Hypothesis, Redwood City New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This chapter presents a concept for the evaluation of data modeling which is based on existing theoretical approaches and three empirical studies conducted or supervised by the author. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
dynamic hypermedia engine, total query processing cost, specialized entity types, database schema graph, advanced query processing, extensional answer, horizontal class partitioning, intensional answers, hypermedia functionality, index spy, values subquery, reference data models, triggering graph, open hypermedia systems, virtual hierarchies, join graph, maximal concepts, multidimensional data model, hypermedia support, loader module, materialized views, application wrapper, inclusion dependencies, conventional query, hypermedia services Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Idea Group Publishing, Data Engineering, New York, Prentice Hall, System Sciences, Focused Logistics, Message Manager, New Jersey Institute of Technology, San Francisco, Addison Wesley, United States, Car Year, Department of Defense, Englewood Cliffs, Morgan Kaufmann Publishers, Oracle Corporation, Red Brick Systems, Relational Database Wrapper Module, Supplier Name, Honda AND Cylinders, International Workshop, Object Query Language, Optimized Hypothesis, Redwood City New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 75
books:
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23
books
cite this book:
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- Database Systems: Concepts, Languages and Architectures by Paolo Atzeni on 5 pages
- An Introduction to Database Systems by C. J. Date on page 66, page 124, and page 278
- Information Retrieval and Hypertext (Electronic Publishing Series) by Alan F. Smeaton on page 96, page 97, and page 98
- Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) by Richard Y. Wang on page 42, page 45, and page 46
- Information Quality (Advances in Management Information Systems) by Richard Y. Wang on page 45, and page 47
See all 75 books this book cites
- Data Mining and Business Intelligence: A Guide to Productivity by Stephan Kudyba in Front Matter
- Environmental Information Systems in Industry and Public Administration by Claus Rautenstrauch in Front Matter
- Strategies for Managing Computer Software Upgrades by Neal G. Shaw in Front Matter
- Design and Management of Multimedia Information Systems: Opportunities and Challenges by Syed Mahbubur Rahman in Front Matter
- ERP and Data Warehousing in Organizations: Issues and Challenges by Gerald G. Grant in Back Matter
See all 23 books citing this book
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