Title
The Data Modeling Handbook: A Bestpractice Approach To Building Quality Data Models
Delivery time: 8-12 business days (International)
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
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⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of The Data Modeling Handbook? A: The Data Modeling Handbook emphasizes a best-practice approach to building accurate, complete, and useful data models, addressing key questions related to model accuracy and completeness.
- Q: Who is the author of The Data Modeling Handbook? A: The book is authored by Michael Reingruber, a noted expert in data management.
- Q: What type of content can I expect in this book? A: The book includes real-world examples, annotated diagrams, and a wealth of rules and best practices, providing hands-on guidance for data modelers and engineers.
- Q: What is the publication date of The Data Modeling Handbook? A: The Data Modeling Handbook was published on January 1, 1994.
- Q: How many pages does The Data Modeling Handbook have? A: The book contains 384 pages, providing comprehensive coverage of data modeling practices.
- Q: What is the binding type of this book? A: The Data Modeling Handbook is available in hardcover binding, ensuring durability.
- Q: Is The Data Modeling Handbook suitable for beginners? A: While the book is packed with advanced insights and real-world applications, it is designed to be accessible to both beginners and experienced data modelers.
- Q: What are the key features of The Data Modeling Handbook? A: Key features include clear rules for model accuracy, comparisons of popular modeling styles, and guidance on using organizational objectives for building models.
- Q: Can this book help with ongoing quality evaluation of data models? A: Yes, The Data Modeling Handbook offers detailed guidance on establishing a continuous quality evaluation program for data models.
- Q: What modeling notations are covered in The Data Modeling Handbook? A: The book presents rules in several notations, including IDEF1X, Martin, Chen, and Finkelstein, catering to various modeling preferences.