New book on data-centric Web application development

We are pleased to announce the publication of a new book on the 
model-driven design and implementation of data-intensive Web 
applications.

Designing Data-Intensive Web Applications
Stefano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, 
Sara Comai, and Maristella Matera
Morgan Kaufmann Publishers
Paperback, 562 pages
ISBN 1-55860-843-5

The book addresses the development of data-intensive Web applications, the
most prominent systems in use today for e-commerce, on-line trading,
banking, digital libraries, and other high-volume Web sites.

The book presents an innovative approach to the construction of
data-intensive Web applications based on conceptual design. 
The authors present a methodology that fully exploits the model-driven 
paradigm advocated by modern software engineering. 
Readers will learn how to transform their conceptual designs of 
data-intensive Web applications into effective software components.

The book is targeted to professional developers and students of advanced
course on Information Systems, Conceptual Modelling, Software and Web
Engineering. 

Features:

* A self-contained introduction to the architecture, programming 
  paradigm, and standards used for deploying data-intensive
  Web applications. 

* A methodology, development process, and notation (WebML) based
  on common practice, but optimized for the unique challenges of data-
  driven Web applications.

* Based on well-known industry standards such as UML and the Entity
  Relationship Model.

* Completely platform- and product-independent; WebML itself can be
  formulated as a UML profile.

* Enhanced by its own Web site (http://www.webml.org), containing
  additional examples, papers, teaching materials, developers'
  resources, and over 30 exercises on Web modelling and
  development, with solutions.

* The proposed model-driven development approach is supported
  by a CASE tool available for free to academic users, researchers, 
  and students.


FOR MORE INFORMATION:

http://www.webml.org
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