Developing High Quality Data Models

Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates Develops ideas for creating consistent approaches to high quality data models

Produk Detail:

  • Author : Matthew West
  • Publisher : Elsevier
  • Pages : 408 pages
  • ISBN : 9780123751072
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKDeveloping High Quality Data Models

Developing High Quality Data Models

Developing High Quality Data Models
  • Author : Matthew West
  • Publisher : Elsevier
  • Release : 07 February 2011
GET THIS BOOKDeveloping High Quality Data Models

Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types

Developing High Quality Data Models

Developing High Quality Data Models
  • Author : Matthew West
  • Publisher : Morgan Kaufmann Pub
  • Release : 23 May 2022
GET THIS BOOKDeveloping High Quality Data Models

Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types

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  • Publisher : "O'Reilly Media, Inc."
  • Release : 16 March 2017
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  • Publisher : Government Printing Office
  • Release : 21 February 2013
GET THIS BOOKDeveloping a Protocol for Observational Comparative Effectiveness Research: A User's Guide

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  • Publisher : John Wiley & Sons
  • Release : 18 April 2011
GET THIS BOOKReal-World Solutions for Developing High-Quality PHP Frameworks and Applications

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