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Designing Data-Intensive Web Applications

Categorie:Algemeen - Boeken Van:Morgan Kaufmann Publishers, Inc.
Meer informatie:www.mkp.comAuteur(s):Stefano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai
Bladzijden:562Publicatie-jaar:2003

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 major  » Lees meer...

Designing Data-Intensive Web Applications

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F37530 Designing Data-Intensive Web Applications55.5758.90

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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 major breakthrough in the process underlying the design of the increasingly common and important data-driven Web applications. Includes an example of how Case tool support for WebML specifications would further improve the development process.This is a fully self-contained introduction and practitioner's guide suitable for both technical and non-technical members of staff, as well as students. It presents a methodology, development process, and notation (WebML) based on common practice but optimized for the unique challenges of high-volume Web applications. Completely platform - and product - independent; even the use of WebML is optional; Based on well-known industry standards such as UML and the Entity Relationship Model.