Typically, analysis, development, and database teams work for different business units, and use different design notations. With UML and the Rational Unified Process (RUP), however, they can unify their efforts -- eliminating time-consuming, error-prone translations, and accelerating software to market. In this book, two data modeling specialists from Rational Software Corporation show exactly how to model data with UML and RUP, presenting proven processes and start-to-finish case studies. The book utilizes a running case study to bring together the entire process of data modeling with UML. Each chapter dissects a different stage of the data modeling process, from requirements through implementation. For each stage, the authors cover workflow and participants' roles, key concepts, proven approach, practical design techniques, and more. Along the way, the authors demonstrate how integrating data modeling into a unified software design process not only saves time and money, but gives all team members a far clearer understanding of the impact of potential changes. The book includes a detailed glossary, as well as appendices that present essential Use Case Models and descriptions. For all software team members: managers, team leaders, systems and data analysts, architects, developers, database designers, and others involved in building database applications for the enterprise.
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Eric J. Naiburg is a product manager for Rational Software Corporation, focusing on the Rational Rose product line. His professional focus is on extending the ability of Rational Rose to support database design and object-relational mapping within the Rose visual modeling tool and the UML. He delivers numerous popular seminars on the topic.
Robert A. Maksimchuk is the Data Modeling Evangelist for Rational. He is a frequent speaker at Rational events, various database conferences, and user groups worldwide, and has more than twenty-four years of experience in the software development field.
The Unified Modeling Language (UML), the standard graphical notation for modeling business and software application needs, has emerged as an effective modeling tool for database design. When used as a common modeling language for the many facets of system development, the UML can serve as a unifying framework that facilitates the integration of database models with the rest of a system design.
This pragmatic guide introduces you to the UML and leads you through the process of UML-based database modeling and design. The book presents the different types of UML diagrams, explaining how they apply to the database world, and shows how data modeling with the UML can be tied into the Rational Unified Process.
UML for Database Design is structured around the database design process: business use case modeling, business object modeling, database requirements definition, analysis and preliminary design, and, finally, detailed design and deployment. For each phase of development the book describes the overall objectives and workflow of that phase, the status of the case study, the relevant UML constructs, and the nuts and bolts of database modeling and design with the UML. Drawing on their extensive industry experience, the authors reveal the trials and tribulations of database development teams, lessons learned, and pointers for success.
Topics covered include:
A case study runs throughout the book to illustrate key concepts and techniques, and appendixes containing the actual UML models from this case study are used to catalog the type and extent of models that would be developed for such a system.
Practical, concrete, and based on real-life experience, UML for Database Design brings you exactly the information you need to begin working with the UML and take full advantage of the technology for high-quality database modeling and design.
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