Written by bestselling author Andy Oppel, this fast-paced tutorial explains how to create data models in order to gather business requirements and use them to produce conceptual, logical, and physical database designs. The techniques presented in Data Modeling: A Beginner's Guide are applicable to any database management system, regardless of vendor. Data warehouses, data marts, and enterprise data modeling are discussed.
Written by bestselling author Andy Oppel, this fast-paced tutorial explains how to create data models in order to gather business requirements and use them to produce conceptual, logical, and physical database designs. The techniques presented in Data Modeling: A Beginner's Guide are applicable to any database management system, regardless of vendor. Data warehouses, data marts, and enterprise data modeling are discussed.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Andrew J. (Andy) Oppel is a proud graduate of The Boys' Latin School of Maryland and of Transylvania University (Lexington, KY) where he earned a BA in computer science in 1974. Since then he has been continuously employed in a wide variety of information technology positions, including programmer, programmer/analyst, systems architect, project manager, senior database administrator, database group manager, consultant, database designer, and data architect. In addition, he has been a part-time instructor with the University of California (Berkeley) Extension for over 20 years, and received the Honored Instructor Award for the year 2000. His teaching work included developing three courses for UC Extension, "Concepts of Database Management Systems", "Introduction to Relational Database Management Systems", and "Data Modeling and Database Design." He also earned his Oracle 9i Database Associate certification in 2003. He is currently employed as a senior data modeler for Blue Shield of California. Aside from computer systems, Andy enjoys music (guitar and vocals), amateur radio (Pacific Division Vice Director, American Radio Relay League) and soccer (Referee Instructor, U.S. Soccer). Andy has designed and implemented hundreds of databases for a wide range of applications, including medical research, banking, insurance, apparel manufacturing, telecommunications, wireless communications, and human resources. He is the author of Databases Demystified (McGraw-Hill/Osborne, 2004) and SQL Demystified (McGraw-Hill/Osborne, 2005). His database product experience includes IMS, DB2, Sybase, Microsoft SQL Server, Microsoft Access, MySQL, and Oracle (versions 7, 8, 8i, 9i, and 10g).
Inhaltsangabe
Chapter 1. Introduction to Data Modeling Chapter 2. Relational Database Components Chapter 3. The Entity Relationship Model Chapter 4. Gathering Business Requirements Chapter 5. Conceptual Data Modeling Chapter 6. Logical Database Design Using Normalization Chapter 7. Advanced Normalization Chapter 8. Physical Database Design Chapter 9. Alternatives for Incorporating Business Rules Chapter 10. Alternatives for Handling Time Dependent Data Chapter 11. Modeling for Analytical Databases (Data Warehouses and Data Marts) Chapter 12. Enterprise Data Modeling/br
Chapter 1. Introduction to Data Modeling Chapter 2. Relational Database Components Chapter 3. The Entity Relationship Model Chapter 4. Gathering Business Requirements Chapter 5. Conceptual Data Modeling Chapter 6. Logical Database Design Using Normalization Chapter 7. Advanced Normalization Chapter 8. Physical Database Design Chapter 9. Alternatives for Incorporating Business Rules Chapter 10. Alternatives for Handling Time Dependent Data Chapter 11. Modeling for Analytical Databases (Data Warehouses and Data Marts) Chapter 12. Enterprise Data Modeling/br
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