» » Data Model Scorecard Applying the Industry Standard on Data Model Quality
uploaded.to



Information of news
  • Author: Alexandr
  • Date: 24-10-2015, 00:55
24-10-2015, 00:55

Data Model Scorecard Applying the Industry Standard on Data Model Quality

Category: E-Books

Data Model Scorecard Applying the Industry Standard on Data Model Quality

Data Model Scorecard: Applying the Industry Standard on Data Model Quality by Steve Hoberman
English | 2 Sept. 2015 | ISBN: 1634620828 | 202 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 20.38 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.




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).

DOWNLOAD
(Buy premium account for maximum speed and resumming ability)


uploaded


Rapidgator.net

Site BBcode/HTML Code:
Dear visitor, you went to the site as unregistered user.
We recommend you Sign up or Login to website under your name.
Information
Would you like to leave your comment? Please Login to your account to leave comments. Don't have an account? You can create a free account now.

Tag Cloud

archive of news

^
 
free html hit counter