Developing High Quality Data Models

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  • Author : Matthew West
  • Publisher : Elsevier
  • Pages : 408 pages
  • ISBN : 9780123751072
  • Rating : /5 from reviews
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Download or Read online Developing High Quality Data Models full in PDF, ePub and kindle. this book written by Matthew West and published by Elsevier which was released on 07 February 2011 with total page 408 pages. We cannot guarantee that Developing High Quality Data Models book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Developing High Quality Data Models

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

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  • Publisher : Springer Science & Business Media
  • Release : 21 October 1998
GET THIS BOOK Conceptual Modeling ER 98

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GET THIS BOOK The Data Model Resource Book

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  • Publisher : Elsevier
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GET THIS BOOK Database Modeling and Design

Database Modeling and Design, Fifth Edition, focuses on techniques for database design in relational database systems. This extensively revised fifth edition features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system. The common examples are based on real-life experiences and have been thoroughly class-tested. This book is immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data. It

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GET THIS BOOK Enterprise and Organizational Modeling and Simulation

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GET THIS BOOK High Performance Web Databases

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GET THIS BOOK Data Modeling for the Business

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GET THIS BOOK Engineering Education 4 0

This book presents a collection of results from the interdisciplinary research project “ELLI” published by researchers at RWTH Aachen University, the TU Dortmund and Ruhr-Universität Bochum between 2011 and 2016. All contributions showcase essential research results, concepts and innovative teaching methods to improve engineering education. Further, they focus on a variety of areas, including virtual and remote teaching and learning environments, student mobility, support throughout the student lifecycle, and the cultivation of interdisciplinary skills.

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GET THIS BOOK Emergent Behavior in Complex Systems Engineering

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GET THIS BOOK Model and Data Engineering

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