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PRINCIPLES OF DATABASE SYSTEMS WITH INTERNET

21-02-2014, 14:13
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Koniec: 21-02-2014 13:36:51

Dodatkowe informacje:
Stan: Nowy
Okładka: twarda
Rok wydania (xxxx): 2001
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Język: angielski
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PRINCIPLES OF DATABASE SYSTEMS WITH INTERNET AND JAVA APPLICATIONS

GREG RICARDI

 

 /JEST TO NAJNOWSZE WYDANIE/

ADDISON-WESLEY , 514  PAGES, HARDCOVER

 

 

Principles of Database Systems

Principles of Database Systems with Internet andJava Applications provides a concise and modern treatment of introductorydatabase topics that is suitable for use in undergraduate database courses, applications-oriented courses on database interaction with the World Wide Web, and professional development. As part of this effort, it enlists )ava and the Internet to add an applications perspective to the core DBMS theory.

This book covers the basic material related to information management, database systems, Java programming, and interaction with databases on the World Wide Web. It assumes that readers have a background in programming and helps them to improve their skills in the design and implementation of complex information systems.

Information management is the central theme of Principles of Database Systems. It motivates the development of data models and the representation of information in relational database systems. Readers learn how to define information content with Entity-Relationship models as well as how to represent that content in relational database systems. Along the way, they become thoroughly familiar with SQL, the Structured Query Language, plus the advanced features of relational database systems. They learn exactly what is required to build high-quality, information-rich applications. In addition, they see how the Web and Java can work together to help them publish and collect information in the widest possible context.

Database and information systems material is covered extensively in this book. Topics include analyzing information requirements, developing conceptual data models, translating conceptual models into relational models, normalizing and improving relational schemas, writing queries in SQL, and developing database applications. Interesting examples are used to show students how to apply this material. Additional topics include object-oriented modeling and databases, database performance and optimization.