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The Data Modeling Handbook: A Bestpractice Approach To Building Quality Data Models
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A Straightforward, Nononsense Guide To Building The Most Accurate, Complete, And Useful Data Models Possible. How Do I Know If My Data Model Is Accurate? When Is A Model Really Complete? Is It Possible For A Model To Be Both Technically Perfect And Of No Use To An Organization, And What Can I Do To Avoid That Problem? This Book Provides Answers To These And Other Crucial Data Modeling Questions. While There Are Plenty Of Books That Describe The Characteristics Of Finished Highquality Data Models, Only The Data Modeling Handbook Gets Down To The Nittygritty Of Actually Building One. Packed With Realworld Examples, Annotated Diagrams, And A Wealth Of Rules And Best Practices, This Fieldtested Guide Provides Experienced Data Modelers, Architects, And Engineers With Handson Guidance From Two Noted Data Management Experts.* The Only Book Offering Clear, Straightforward Rules And Guidelines For Judging Model Accuracy And Completeness* Presents All Rules In Several Notations, Including Idef1X, Martin, Chen, And Finkelstein* Compares And Contrasts The Most Popular Modeling Styles And Demonstrates How Great Models Can Be Built Using Any Type Of Notation* Explains How To Use An Organization'S Plans, Policies, Objectives, And Strategies To Build Accurate, Complete, And Useful Models* Offers Detailed Guidance To Establishing A Continuous Quality Evaluation Program That'S Easy To Implement And Follow* Packed With Realworld Examples And Annotated Diagrams Illustrating Each Point Covered* Describes How To Use Case Tools Most Effectively To Build Highquality Models
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What are the dimensions of The Data Modeling Handbook? A: The dimensions are six and a half inches wide, nine and seventy-six hundredths inches tall, and three-quarters of an inch thick. This compact size makes it easy to store and carry.
- Q: How many pages does The Data Modeling Handbook contain? A: The book contains three hundred eighty-four pages. This length provides thorough coverage of data modeling concepts and best practices.
- Q: What type of binding does this book have? A: The Data Modeling Handbook is bound in hardcover. This durable binding enhances the book's longevity and usability.
- Q: What is the main purpose of The Data Modeling Handbook? A: The main purpose is to provide a straightforward guide to building accurate and useful data models. It serves as a resource for both beginners and experienced data modelers.
- Q: Who is the author of The Data Modeling Handbook? A: The author is Michael Reingruber. He is recognized as an expert in data management and modeling.
- Q: Is The Data Modeling Handbook suitable for beginners? A: Yes, it is suitable for beginners as well as experienced professionals. The book breaks down complex concepts into understandable guidelines.
- Q: What modeling styles does The Data Modeling Handbook cover? A: The book covers several modeling styles, including IDEF1X, Martin, Chen, and Finkelstein. This variety helps readers choose the best style for their needs.
- Q: How can I apply the concepts in The Data Modeling Handbook? A: You can apply the concepts by following the guidelines to create accurate data models for your organization. The book includes real-world examples for practical application.
- Q: Does The Data Modeling Handbook provide practical examples? A: Yes, it is packed with real-world examples and annotated diagrams. These elements illustrate the application of data modeling principles.
- Q: What kind of evaluation program does the book suggest? A: The book offers guidance on establishing a continuous quality evaluation program. This program is designed to be easy to implement and follow.
- Q: Is there a focus on technical accuracy in this book? A: Yes, it emphasizes technical accuracy and completeness in data modeling. The author addresses common pitfalls to avoid in model development.
- Q: Can this book help with organizational strategy alignment? A: Yes, it explains how to align data models with an organization's plans, policies, and objectives. This ensures the models are relevant and useful.
- Q: How does The Data Modeling Handbook compare to other modeling resources? A: Unlike other resources, it provides clear rules and guidelines specifically for judging model accuracy and completeness. This focus sets it apart.
- Q: What are the key topics covered in The Data Modeling Handbook? A: Key topics include building accurate models, comparing modeling styles, and establishing quality evaluation programs. Each topic is thoroughly explored.
- Q: Is this book a field-tested guide? A: Yes, it is a field-tested guide based on the expertise of two noted data management experts. Their insights enhance the book's credibility.