Database Modeling and Design: Logical Design, Fifth Edition
Search in google:
Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in consideration of new technology or new business needs? In the extensively revised fourth edition, you’ll get clear explanations, lots of terrific examples and an illustrative case, and the really practical advice you have come to count on—with design rules that are applicable to any SQL-based system. But you’ll also get plenty to help you grow from a new database designer to an experienced designer developing industrial-sized systems: + 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—with examples throughout the book in both approaches! + the details and examples of how to use data modeling concepts in logical database design, and the transformation of the conceptual model to the relational model and to SQL syntax; + the fundamentals of database normalization through the fifth normal form;+ practical coverage of the major issues in business intelligence—data warehousing, OLAP for decision support systems, and data mining; + examples for how to use the most popular CASE tools to handle complex data modeling problems. + Exercises that test understanding of all material, plus solutions for many exercises.About the AuthorsToby J. Teorey is a professor in the Electrical Engineering and Computer Science Department at the University of Michigan, Ann Arbor, and his current research focuses on database design and performance of computing systems. Sam S. Lightstone is the cofounder and leader of DB2's autonomic computing R&D effort, and has been with IBM since 1991. His current research includes automatic physical database design, adaptive self-tuning resources, automatic administration, benchmarking methodologies, and system control. Mr. Lightstone is an IBM Master Inventor. Thomas P. Nadeau is a senior technical staff member of Ubiquiti Inc. and works in the area of data and text mining. His technical interests include data warehousing, OLAP, data mining and machine learning.
PrefaceCh. 1Introduction1Ch. 2The ER Model: Basic Concepts13Ch. 3ER Modeling in Logical Database Design45Ch. 4Transformation of the ER Model to SQL79Ch. 5Normalization97Ch. 6Access Methods141Ch. 7An Example of Relational Database Design177Ch. 8Distributed Data Allocation187Ch. 9Data Warehousing, OLAP, And Data Mining211Ch. 10Advanced Database Technologies251App. AReview of SQL281App. BDatabase Performance Tuning301App. CDependability Estimation305App. DData Warehousing Technology Vendors315App. EConnecting Databases to the World Wide Web319References323Solutions to Selected Exercises347Index355About the Author366
![SQL Queries for Mere Mortals: A Hands-on Guide to Data Manipulation in SQL [For Mere Mortals Series]](/application/data/covers/44/31/9780321444431.jpg "SQL Queries for Mere Mortals: A Hands-on Guide to Data Manipulation in SQL [For Mere Mortals Series]")
