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The database life cycle is described in Chapter 1. In Chapter2, we present the most fundamental concepts of data modeling and provide a simple set of notational constructs the Chen notation for the ER model to represent them.
Chapter 3 introduces the UML notation for data modeling. UML-2 has fss2 a standard method of modeling large-scale systems for object-oriented languages such as. We feel it is important for the reader to understand both notations and how much they have in common.
Chapters 4 and 5 show how to use data modeling concepts in the database design process. Chapter 4 is devoted to direct application of conceptual data modeling in logical database design. Chapter 5 explains the transformation of the conceptual model to the relational model, and to Structured Query Language SQL syntax specifically.
Chapter 6 is devoted to the fundamentals of database normalization through third normal form and its variation. Boyce-Codd normal form, showing the functional equivalence between the conceptual model both ER and UML and d relational model for third normal form. The case study in Chapter 7 summarizes the techniques presented in Chapters 1 through 6 with a new problem environment.
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Chapter 8 illustrates the basic features of desigm database systems and how they differ from relational database systems. Chapter 9 looks at Web technologies and how they impact databases and database design.
XML is perhaps the best known Web technology. Chapter 10 describes the rpatique logical database design issues in business intelligence – data warehousing, online analytical processing OLAP for decision support systems, and data mining.
Chapter 11 discusses three of the currently most popular software tools for logical design: Examples are given to demonstrate how each of these tools can be used to handle complex data modeling problems.
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The Appendix contains a review of the basic data definition and data manipulation components of the relational database query language SQL Csd2 for those readers who lack familiarity with database query languages.
A simple example database desin used to illustrate the SQL query capability. The database practitioner can use this book as a guide to database modeling and its application to database design for business and office environments and for well-structured scientific and engineering databases.
Whether you are a novice database user or an experienced professional, this book offers new insights into database modeling and the ease of transition from the ER model or UML model to the relational model, including the building of standard SQL data definitions. Access, or MySQL for example, the design rules set forth here will be applicable.
The case studies used for the examples throughout the book are from real-life databases that were designed using the principles formulated here. This book can also be used by the advanced undergraduate or beginning graduate student css2 supplement a course textbook in introductory database management, or for a stand-alone course in data modeling or database design. Chapter 6 is devoted to the fundamentals of database normalization through third normal form and its variation, Boyce-Codd normal form, showing the functional equivalence between the conceptual model both ER and UML and the relational model for third normal form.
Extensions made to relational systems to pratiquw this problem are described.