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Data Modeling and Database Design

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Synopses & Reviews

Publisher Comments:

Data Modeling and Database Design presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course. Database design and data modeling encompass the minimal set of topics addressing the core competency of knowledge students should acquire in the database area. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in more introductory database books.

About the Author

Dr. Richard W. Scamell serves as Professor of Decision and Information Sciences in the C. T. Bauer College of Business at the University of Houston. He received his Ph.D. degree from The University of Texas at Austin. Since joining the faculty at Houston in 1972, he has taught more than two dozen different courses at the undergraduate, masters, and doctoral levels, including several in the database area. His publications have appeared in journals such as Management Science, MIS Quarterly, Academy of Management Journal, Decision Sciences, IEEE Transactions on Software Engineering, Communications of the ACM, Omega, and Information and Management. Dr. Narayan S. Umanath is Professor of Information Systems at the University of Cincinnati, Ohio. Entering academia after fifteen years of technical and managerial experience in the software development industry, Umanath received his Ph.D in Business Administration from the University of Houston in 1987. His current research interests include electronic integration in supply chain relationships, data modeling and data warehousing and organizational issues pertaining to Information Systems. His research publications have appeared in Communications of the ACM, Decision Sciences, Information and Management, Information Resources Management Journal, Journal of MIS, Journal of Managerial Issues and Management Science.

Table of Contents

1. Database Systems: Architecture and Components 2. Foundation Concepts 3. Entity-Relationship Modeling 4. Enhanced Entity-Relationship (EER) Modeling 5. Modeling Complex Relationships 6. The Relational Data Model 7. Functional Dependencies 8. Normal Forms Based on Functional Dependencies 9. Higher Normal Forms 10. Database Creation 11. Data Manipulation: Relational Algebra and SQL 12. Advanced Data Manipulation Using SQL Appendix A: Data Modeling Architectures Based on the Inverted Tree and Network Data Structures Appendix B: Object-Oriented Data Modeling Architectures Appendix C: Overview of SQL Reserved Words

Product Details

ISBN:
9781423900832
Publisher:
Course Technology
Subject:
General
Author:
Scamell
Author:
Umanath, Narayan S.
Author:
Scamell, Richard W.
Author:
Scamell, Richard W.(Richard Scamell)
Subject:
Database Management - General
Subject:
Information technology
Subject:
Management Information Systems
Subject:
data modeling; database design; database; normalization
Subject:
General Computers
Subject:
data modeling
Subject:
Database design
Subject:
Database
Subject:
normalization
Copyright:
Publication Date:
November 2006
Binding:
HARDCOVER
Grade Level:
College/higher education:
Language:
English
Illustrations:
Y
Pages:
720
Dimensions:
9.58x7.40x1.21 in. 2.75 lbs.

Related Subjects

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Computers and Internet » Software Engineering » Software Management

Data Modeling and Database Design
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Product details 720 pages Course Technology - English 9781423900832 Reviews:
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