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The Data Model Resource Book, Vol. 3: Universal Patterns For Data Modeling
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This Third Volume Of The Bestselling 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 Jumpstart 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.
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- Q: What is the main focus of The Data Model Resource Book, Vol. 3? A: This volume focuses on fundamental patterns that impact over 50 percent of data modeling efforts, helping to save time and improve quality.
- Q: Who is the author of The Data Model Resource Book, Vol. 3? A: The book is authored by Len Silverston, a recognized expert in data modeling.
- Q: How many pages does this book contain? A: The book contains 640 pages.
- Q: What type of binding does this book have? A: The book is available in paperback binding.
- Q: When was The Data Model Resource Book, Vol. 3 published? A: It was published on January 9, 2009.
- Q: Is this book suitable for beginners in data modeling? A: Yes, it provides foundational patterns and guidelines that can help beginners understand data modeling concepts.
- Q: Can this book help improve data model consistency? A: Yes, the guidelines and patterns presented can enhance the consistency and quality of data models.
- Q: What category does this book belong to? A: The book is categorized under Management Information Systems.
- Q: Is The Data Model Resource Book, Vol. 3 part of a series? A: Yes, it is the third volume in the best-selling Data Model Resource Book series.
- Q: What benefits does this book offer for data modeling efforts? A: It offers insights to reduce modeling time and cost while providing standards to evaluate and improve data models.