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XML for Data Architects: Designing for Reuse and Integration (The Morgan Kaufmann Series in Data Management Systems)


By James Bean
 
Image of: XML for Data Architects: Designing for Reuse and Integration (The Morgan Kaufmann Series in Data Management Systems)
Pricing Details:

List Price:$52.95
You save:$5.30 (10%)
Your Price:$47.65
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Book Details:

Format:Paperback, 250 pages.
Publisher:Morgan Kaufmann 2003-06
ISBN:1558609075

Average Customer Rating:

4.0 4 out of 5 stars (11 reviews)

Editorial Reviews:

"The book addresses a sorely missing set of considerations in the real world� This is a very timely book."
-Peter Herzum, author of Business Component Factory and CEO of Herzum Software

XML is a tremendous enabler for platform agnostic data and metadata exchanges. However, there are no clear processes and techniques specifically focused on the engineering of XML structures to support reuse and integration simplicity, which are of particular importance in the age of application integration and Web services. This book describes the challenges of using XML in a manner that promotes simplification of integration, and a high degree of schema reuse. It also describes the syntactical capabilities of XML and XML Schemas, and the similarities (and in some cases limitations) of XML DTDs. This book presents combinations of architectural and design approaches to using XML as well as numerous syntactical and working examples.

* Designed to be read three different ways: skim the margin notes for quick information, or use tables in the appendix to locate sections relevant the to a particular issue, or read cover-to-cover for the in-depth treatment.
* Contains numerous tables that describe datatypes supported by the most common DBMSs and map to XML Schema supported data types.
* Unique focus on the value added role and processes of the data architect as they apply to enterprise use of XML.


Customer Reviews:

Displaying 1 to 5 of 11 total reviews (Page 1 of 3):

5 out of 5 stars Excellent Book - Excellent Content

This book hit the spot for me. They provide a wealth of ideas and recommendations on how to create well structured, reusable XML schemas, along with good guidelines on the various strengths and weaknesses of different choices. It definitely gave me a lot of good information, and a good feeling for what is possible and what is important in designing XML data models. It's not an easy read, as it requires a reasonable comfort with XML Schema, and the terminology is fairly technical, but once you get used to their style, it's quite clear.

2 out of 5 stars Meagre content disguised by vague writing and padding

There isn't much real content in this book and you have to trudge through a lot of vague and cumbersome writing to get to it.

Here's a representative extract:

"What should be obvious to any practitionaer is that effective engineering of a schema requires expertise with metadata and related data archtitecture disciplines. Wihtout a metadata and data architecture focus, the broad proliferation of nonstandard and ad hoc XML transactions and schemas will be seen, resulting in increased data disparity, integration complexity, and a failure to reduce related technology costs." (page 197)

It also has a very poorly produced index, which makes it far less useful than it might have been as a XML schema reference book.

5 out of 5 stars Excellent resource for my needs

At first I was somewhat skeptical due to a couple of negative reviews. However, I was desparate. The other XML books I've read (and fallen asleep with) seem to be restatements of the W3C specifications. I am a DBA/Data Architect in the midst of an international Web Services and SOA project and I needed something fast. As it turns out, this was probably the best investment in reference materials I've made in a long time. I guess I am not really sure what the other reviewers missed, but this book was perfect for me. I hold mixed roles of DBA as well as Data Architect - data modelling mostly. Recently, I was tasked with trying to determine why and how all of this XML stuff fits in a SOA project, and from the data perspective. Although I've been a DBA for too many years to share, I've positioned myself mostly at the persistence layer. This book really opened my eyes. Thorough, concise, and very focused on what "data folks" need. Five stars were a must for me.

2 out of 5 stars This book is not ... a lot of things

The content of the book is very appealing, but I found many problems:

- a good knowledge of XML schema is required
- a good knowledge of data modeling topics is required

If you have the required knowledge, you will find a lot of obvious things, that you maybe already know. Some hints and methodologies are useful, but they represent only a small portion of the book.

If you don't have the required knowledge, you will find difficult understanding the "big picture" from which the ideas in the book are derived.

I don't suggest buying this book.

3 out of 5 stars What a Waste of Time & Money !

I must not have gotten the same book that the other reviewers got. I rarely write bad reviews. I've normally researched the books I buy pretty thoroughly. But I screwed up this time

It reminded of those "C" language style guide books. Some people get into that stuff I guess....

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Customers who bought this book were also interested in:


XML in Data Management: Understanding and Applying Them Together (The Morgan Kaufmann Series in Data Management Systems)


Modeling Business Objects with XML Schema (The Morgan Kaufmann Series in Software Engineering and Programming)


Definitive XML Schema (Charles F. Goldfarb Definitive XML Series)


Beginning XML Databases (Wrox Beginning Guides)


Effective XML: 50 Specific Ways to Improve Your XML (Effective Software Development Series)

 

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