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The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling
86% of respondents would recommend this to a friend
UYU 3345
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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?
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What Stands Out
Detalles de producto
- The third volume of the best-selling Data Model Resource Book series
- Focuses on fundamental patterns that affect over 50 percent of data modeling efforts
- Provides a way to save time and improve the quality of data modeling
- Can be used to reduce modeling time and cost, jump-start data modeling efforts, and increase consistency and quality
- Offers objective standards and guidelines for evaluating data models
- Essential resource for anyone involved in data modeling
| 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, Vol. 3: Universal Patterns for Data Modeling 1st Edition" is a comprehensive guide for anyone interested in data modeling. It is the third installment in the series and provides practical patterns, sound advice, and helpful tips for people management. The book is structured in a way that starts with easy-to-understand and strict patterns and gradually moves towards more flexible ones. One reviewer mentions that the book is a valuable resource for those engaged in data model pattern level work, as it may not be practical for beginners. However, overall, the book is highly recommended for anyone interested in data modeling concepts and looking to improve their modeling skills. The patterns in the book are categorized into chapters that cover different aspects of data modeling, such as roles, hierarchies, types, status, contact mechanisms, and business rules. Each chapter follows a clear structure, explaining the purpose and workings of each pattern, when it should be used, and its weaknesses. One notable feature of the book is the presentation of each pattern at different levels, catering to different needs and perspectives. The authors discuss the challenges of balancing information requirements and database design, offering guidance on choosing the appropriate approach. The book also includes two chapters on how to use and implement the patterns in an enterprise, as well as tips on getting individuals and organizations to adopt them. These chapters provide valuable insights on applying the patterns in real-world scenarios and maximizing the benefits. Overall, "The Data Model Resource Book, Vol. 3: Universal Patterns for Data Modeling 1st Edition" is a well-done follow-up to the previous volumes in the series. It offers a wealth of knowledge and practical guidance for data modeling professionals and enthusiasts.
Customer Reviews & Ratings
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5 estrella
63%
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4 estrella
16%
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3 estrella
5%
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2 estrella
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ventajas
- Comprehensive guide on data modeling
- Practical patterns and sound advice
- Helpful tips for people management
- Clear structure and presentation of patterns at different levels
- Insights on applying the patterns in real-world scenarios
Contras
- May not be practical for beginners in data modeling
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UYU 3345
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características y beneficios
- Third volume of best-selling Data Model Resource Book series
- Focuses on fundamental, underlying patterns affecting over 50% of most data modeling efforts
- Considerably reduces modeling time and cost
- Used as standards and guidelines to improve data model consistency and quality
- An objective source to evaluate data models
- Jump-starts data modeling efforts
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