Title
Data Model Scorecard: Applying the Industry Standard on Data Model Quality,Used
Delivery time: 8-12 business days (International)
Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it's essential to get the data model right. But how do you determine right? That's where the Data Model Scorecard comes in.The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization's data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client's data models I will show you how to apply the Scorecard in this book.This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: Chapter 4: Correctness Chapter 5: Completeness Chapter 6: Scheme Chapter 7: Structure Chapter 8: Abstraction Chapter 9: Standards Chapter 10: Readability Chapter 11: Definitions Chapter 12: Consistency Chapter 13: Data In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16).
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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.
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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 purpose of the Data Model Scorecard? A: The Data Model Scorecard is designed to assess and improve the quality of data models used in organizations by providing a structured scoring tool across ten categories.
- Q: Who would benefit from reading this book? A: This book is ideal for anyone involved in building, using, or reviewing data models, including data analysts, modelers, architects, and database developers.
- Q: How many pages does the Data Model Scorecard have? A: The book contains a total of 202 pages.
- Q: What are the ten categories covered in the Data Model Scorecard? A: The ten categories include Correctness, Completeness, Scheme, Structure, Abstraction, Standards, Readability, Definitions, Consistency, and Data.
- Q: Is this book suitable for beginners in data modeling? A: Yes, the book includes a primer on data modeling, making it accessible for beginners while still providing in-depth insights for experienced professionals.
- Q: What edition of the Data Model Scorecard is available? A: This is the First Edition of the Data Model Scorecard, published on September 2, 2015.
- Q: Does the book include practical examples? A: Yes, the book features numerous examples to illustrate each of the ten Scorecard categories, aiding in practical understanding.
- Q: What type of binding does the book have? A: The Data Model Scorecard is available in paperback binding.
- Q: Who is the author of the Data Model Scorecard? A: The book is authored by Steve Hoberman.
- Q: Can this book help in validating existing data models? A: Absolutely, the book includes a section specifically focused on validating data models, offering tips and a review process based on actual projects.