Modern Database Management (7th Edition)

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9780131453203: Modern Database Management (7th Edition)
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The seventh edition of this popular book has been updated and revised to accommodate the technical, managerial, and methodological changes occurring at an ever-increasing pace in this field. While retaining the best features of the previous edition, it covers the latest principles, concepts, and technologies. Illustrations help make important concepts and techniques clear. It includes object-oriented data modeling and UML, Internet databases, data warehousing, and the use of CASE tools in support of data modeling. Topics are introduced to reinforce principles from other typical information fields, such as systems analysis and design, networking, Website design and development, MIS principles, and computer programming. Emphasis is on the development of the database component of modern information systems, and on the management of the data resource. For managers of information systems, as well as systems analysts and database designers.

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From the Back Cover:

STUDY.MODERN DATABASE MANAGEMENT WITH THE LATEST COVERAGE!

  • Complete SQL Coverage! Now two full chapters on SQL (Chapters 7 and 8) provide a thorough introduction to SQL, plus advanced material with examples.
  • Internet Database Chapter! Chapter 10 explores the Internet database environment, including Web-based applications, scripting languages, and Web security Examples from ASP and ColdFusion for a shopping cart application are highlighted in the text and on the Web site.
  • Client/Server and Data Warehousing Coverage! Chapter 9 provides strong client/server coverage and lays the technology groundwork for the Internet topics for the rest of the text. Chapter 11 is an extensive update to data warehousing and represents the explosive growth of this form of database.
STUDENTS, GET INTERACTIVE WITH MODERN DATABASE MANAGEMENT!

Expanded Web Support http://www.prenhall.com/hoffer
Explore the Web Resources found in every chapter of this text and the text's Web site to expand your knowledge of. database management. The new MyPHLIP Companion Web site features an Interactive Study Guide, code for the ASP and ColdFusion examples from Chapter 10, and interesting case studies.

INSTRUCTORS, UTILIZE SUPERIOR MODERN DATABASE MANAGEMENT TEACHING TOOLS!

Database Files for the Running Cases
Data sets and sample database applications in Access and Oracle are now available to accompany the Pine Valley Furniture and Mountain View Community Hospital cases in this text, The files are located on the Instructor's CD-ROM and in the Instructor's area of the Web site.

Image Library
Bring your lectures to life with the Image Library tool found on the Instructor's Resource CD-ROM. All of the art from the text is conveniently organized by chapter. Insert the figures and tables into your PowerPoint lecture presentations or print them off as handouts for class!

About the Author:

Jeffrey A. Hoffer (hoffer@udayton.edu) is the Sherman — Standard Register Professor of Data Management in the MIS, Operations Management, and Decision Sciences Department at the University of Dayton. He received a PhD from Cornell University in 1973 and was on the faculties of Case Western Reserve University and Indiana University before joining UD. He is a founder of the INFORMS College on Information Systems, the International Conference on Information Systems (and its conference chair in 1985), and the Association for Information Systems. He is author of many scholarly publications in the areas of database management, data warehousing, systems analysis, strategic systems planning, and human-computer interaction. He is co-author of several leading textbooks: Modern Database Management, Modern Systems Analysis and Design, Essentials of Systems Analysis and Design, Object-Oriented Systems Analysis and Design, and Managing Information Technology: What Managers Need to Know, all published by Prentice-Hall. Dr. Hoffer is also an Associate Director of the Teradata University Network, the leading web portal for faculty and students in the data management, data warehousing, decision support, and business intelligence areas.

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