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The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling
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- This third volume of the best-selling Data Model Resource Book series revolutionizes the data modeling discipline by answering the question How can you save significant time while improving the quality of any type of data modeling effort? In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.
| Publisher | Wiley |
| Publication date | January 9, 2009 |
| Edition | 1st |
| Language | English |
| Print length | 640 pages |
| ISBN-10 | 0470178450 |
| ISBN-13 | 978-0470178454 |
| Item Weight | 2 pounds (910 grams) |
| Reading age | 1 year and up |
| Dimensions | 7.38 x 1.45 x 9.25 inches (18.7 x 3.7 x 23.5 cm) |
Who Should Buy?
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Data Modelers
Ideal for professionals seeking to enhance their data modeling skills using universal design patterns.
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Database Administrators
Useful for DBAs aiming to optimize database design and architecture through established modeling techniques.
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Software Developers
A valuable resource for developers who need to understand data structures for effective application development.
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Beginners
Not suitable for beginners without prior experience in data modeling or database concepts.
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Management Information Systems Editorial Review
The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling is an essential guide for anyone engaged in data architecture, written by Len Silverston and Paul Agnew. This comprehensive volume focuses on core data modeling patterns, examining vital concepts such as parties, roles, hierarchies, and business rules. It explores these concepts across four levels of specificity, providing a flexible framework that caters to diverse organizational needs. The book is lauded for its practical insights, making it a valuable resource for both novices and seasoned professionals in data modeling. Despite some noting its less practical application, the structured approach to explaining patterns is beneficial for improving one’s data model.
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Pros
- Covers essential data modeling patterns comprehensively
- Explains patterns in a structured, easy-to-understand manner
- Offers flexibility in pattern implementation levels
- Highly recommended for professionals in data modeling
- Serves as a great reference for database design
Cons
- Not very practical without a solid data modeling background
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