The common examples are based on real-life experiences and have been thoroughly class-tested. The text takes a detailed look at the Unified Modeling Language UML-2 as well as the entity-relationship ER approach for data requirements specification and conceptual modeling - complemented with examples for both approaches.
It also discusses the use of data modeling concepts in logical database design; the transformation of the conceptual model to the relational model and to SQL syntax; the fundamentals of database normalization through the fifth normal form; and the major issues in business intelligence such as data warehousing, OLAP for decision support systems, and data mining.
There are examples for how to use the most popular CASE tools to handle complex data modeling problems, along with exercises that test understanding of all material, plus solutions for many exercises. Lecture notes and a solutions manual are also available. Chapter 1 Introduction 1. Toby Teorey Toby J. He received his B.
His work includes numerous topics in autonomic computing and relational database management systems. He is an IBM Master Inventor with over 25 patents and patents pending; he has published widely on autonomic computing for relational database systems. He has been with IBM since His technical interests include data warehousing, OLAP, data mining and machine learning. Jagadish H. Lightstone Tom Nadeau H. Database Modeling and Design, Fifth Edition: Logical Design [5th Edition] , Database systems and database design technology have undergone significant evolution in recent years.
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