By
Toby Teorey, University of Michigan, Ann Arbor, USA
Stephen Buxton, Mark Logic Corporation, San Mateo, California
Lowell Fryman, VIP LLC, Denver, CO, USA
Ralf Güting
Terry Halpin, Neumont University, Utah
Jan Harrington, Professor and Department Chair, Computer Science, Marist College, Hyde Park, New York, U.S.A.
William Inmon, Inmon Data Systems, Castle Rock, CO, USA
Sam Lightstone, IBM, Toronto, Canada
Jim Melton, Oracle Corporation, Sandy, Utah.
Tony Morgan, Neumont University, Utah
Thomas Nadeau
Bonnie O'Neil, Project Performance Corporation, Denver, CO, USA
Elizabeth O'Neil
Patrick O'Neil
Markus Schneider, University of Florida at Gainesville
Graeme Simsion, Senior Fellow, University of Melbourne, Australia
Graham Witt, Independent Consultant, Sydney, Australia
Description
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.
Audience:
Professional data modelers and database design professionals, including database application designers, database administrators (DBAs),
data management professionals, and undergraduate and graduate students who want to incorporate database design as part of their data
management knowledge base and expertise.
