Database systems : a practical approach to design, implementation, and management
Auteurs : Thomas Connolly ; Carolyn Begg
Editeur : Addison-Wesley
En bibliothèque depuis le 10 février 2011
Pas d'aperçu disponible
This book places a strong emphasis on good design practice, allowing readers to master design methodology in an accessible, step-by-step fashion. In this book, database design methodology is explicitly divided into three phases: conceptual, logical, and physical. Each phase is described in a separate chapter with an example of the methodology working in practice. Extensive treatment of the Web as an emerging platform for database applications is covered alongside many code samples for accessing databases from the Web including JDBC, SQLJ, ASP, ISP, and Oracle's PSP. A thorough update of later chapters covering object-oriented databases, Web databases, XML, data warehousing, data mining is included in this new edition. A clear introduction to design implementation and management issues, as well as an extensive treatment of database languages and standards, make this book an indispensable, complete reference for database professionals.
Database Systems, Second Edition provides a strong foundation in good design practice. Using an accessible, step-by-step approach, students will master a database methodology. Then, the authors apply this methodology to worked examples so students learn to design and build applications using a leading commercial database system. Also, a central, realistic case study is integrated throughout the text to provide an understanding of the issues involved. This new edition will build on the clear, accessible presentation of the successful first edition. New to the Second Edition Includes additional and simplified examples. Features new material on distributed databases including interactions with web-based data. Contains new material on object-oriented databases that covers the latest ODBM standards. Illustrates concepts with screen shots from Accesso. Offers new coverage of query processing and optimization, data mining, data warehouses, multimedia databases, and the Internet.