โ Scribed by Stefano Ceri
No coin nor oath required. For personal study only.
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. * A fully self-contained introduction and practitioner's guide suitable for both technical and non-technical members of staff, as well as students. 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. Enhanced by its own Web site (http://www.webml.org), containing additional examples, papers, teaching materials, developers' resources, and exercises with solutions.
๐ SIMILAR VOLUMES
This book is so long getting to the point, it really is a pain to read. It has 800+ pages, a lot too many. Verbose and repeating itself, just frustrating.
You go online to buy a digital camera. Soon, you realize you've bought a more expensive camera than intended, along with extra batteries, charger, and graphics software-all at the prompting of the retailer.Happy with your purchases? The retailer certainly is, and if you are too, you both can be said
I have a great deal of experience preparing data for analysis. I was looking for a book that would add to my understanding of and enhance my organization for data preparation. This is not that book. At best, the book provides insight into the types of issues faced in preparing data and emphasizes
The Web is causing a revolution in how we represent, retrieve, and process information Its growth has given us a universally accessible database-but in the form of a largely unorganized collection of documents. This is changing, thanks to the simultaneous emergence of new ways of representing data:
This book, while well intentioned, is not great for a small business audience. The book assumes you are working in a large scale environment where one person's job is to focus on data quality. If you wear more than one hat in your job many of the approaches are simply not practical in this book as t
There can be no denying, I believe, that insofar as current major Database Management Systems (DBMS) are concerned, temporal data represents a significant problem: it is simply not possible to declaratively constrain the integrity of temporal data in SQL databases (or non-temporal data, even). I am