Designing data-intensive Web applications
著者
書誌事項
Designing data-intensive Web applications
（The Morgan Kaufmann series in data management systems）
Morgan Kaufmann, c2003
大学図書館所蔵 件 / 全8件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"An imprint of Elsevier Science"
Includes bibliographical references (p. [543]-550) and index
内容説明・目次
内容説明
The most prominent Web applications in use today are data-intensive. Scores of database management systems across the Internet access and maintain large amounts of structured data for e-commerce, on-line trading, banking, digital libraries, and other high-volume sites.
Developing and maintaining these data-intensive applications is an especially complex, multi-disciplinary activity, requiring all the tools and techniques that software engineering can provide. This book represents a breakthrough for Web application developers. Using hundreds of illustrations and an elegant intuitive modeling language, the authors-all internationally-known database researchers-present a methodology that fully exploits the conceptual modeling approach of software engineering, from idea to application. Readers will learn not only how to harness the design technologies of relational databases for use on the Web, but also how to transform their conceptual designs of data-intensive Web applications into effective software components.
目次
FOREWORD by Adam Bosworth. PREFACE. PART ONE Technology Overview: Technologies for Web Applications. PART TWO Models for Designing Web Applications: Data Model. Hypertext Model. Content Management Model. Advanced Hypertext Model. PART THREE Design of Web Applications: Overview of the Development Process. Requirements Specifications. Data Design. Hypertext Design. PART FOUR Implementation of Web Applications: Architecture Design. Data Implementation. Hypertext Implementation. Advanced Hypertext Implementation. Tools for Model-Based Development of Web Applications. APPENDIX: Summary of WebML Elements. WebML Syntax. OCL Syntax. Summary of WebML Elements Implementation. REFERENCES. INDEX.
「Nielsen BookData」 より