Data Model Scorecard: Applying the Industry Standard on Data Model Quality

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Название: Data Model Scorecard: Applying the Industry Standard on Data Model Qualit

Автор: Steve Hoberman

Издательство: Technics Publications, LLC

Год: 2015

Страниц:184

Язык: English

Формат: pdf

Размер: 6,5 Mb

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.

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: During the Model Review

Chapter 16: Data Model Scorecard Case Study