This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects databases. The proposed book expertly combines the finest database design material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of database design. This book represents a quick and efficient way to unite valuable content from leading database design experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.
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All of the elements of data base design together in a single volume written by the best and brightest experts in the field!
Until now, information about modeling and designing your databases and database applications has been scattered across many different books. Database Design: Know It All answers the need for a single comprehensive practical reference for database designers. Assembled from the works of leading researchers and practitioners, this best-of-the-best collection delivers a wide-ranging and detailed examination of database design and modeling that no book by a single author could possibly provide.
From ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects databases, Database Design: Know It All combines a solid foundation with practical approaches to common structural challenges. This is the one book you will always want to have on your desk as you design databases for performance, maintainability, and administration.
Toby J. Teorey is a professor in the Electrical Engineering and Computer Science Department at the University of Michigan, Ann Arbor. He received his B.S. and M.S. degrees in electrical engineering from the University of Arizona, Tucson, and a Ph.D. in computer sciences from the University of Wisconsin, Madison. He was general chair of the 1981 ACM SIGMOD Conference and program chair for the 1991 Entity-Relationship Conference. Professor Teorey's current research focuses on database design and data warehousing, OLAP, advanced database systems, and performance of computer networks. He is a member of the ACM and the IEEE Computer Society.
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