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Developing High Quality Data Models

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Developing High Quality Data Models Cover

 

Synopses & Reviews

Publisher Comments:

A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to improve data models begins with getting it right in the first place.

Using real-world examples, Developing High Quality Data Models walks the reader through identifying a number of data modeling principles and analysis techniques that enable the development of data models that both meet business requirements and have a consistent basis. The reader is presented with a variety of generic data model patterns that both exemplify the principles and techniques discussed and build upon one another to give a powerful and integrated generic data model. This model has wide applicability across many disciplines in government and industry, including but not limited to energy exploration, healthcare, telecommunications, transportation, military defense, transportation, and more.

* 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

Book News Annotation:

This guide to developing high quality data models provides practical instruction in understanding the core principle of data modeling and creating accurate models from complex databases. The work is divided into four sections covering the basics of data model types and uses, general principles for data model components and an ontological framework for consistent data models. A final section presents a complete, standards compliant data model created with the Jotne EPM Technology EDMVisusalExpress data modeling tool. Numerous illustrations, charts and sample programming code are included throughout the work and access to additional online content, including the sample data model, is provided. West is an experienced data modeler working in the energy field. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

The path to high quality data modeling begins with Developing High Quality Data Models.

About the Author

Matthew West spent over 20 years as a leading data modeler for Shell where he was a key technical contributor to data modeling and data management standards and their application. Matthew was responsible for Shell's Downstream Data Model. He currently serves as the Director of Information Junction, a data architecture and analysis consultancy in the UK. He is also a key contributor to ISO 15926 (Lifecycle integration of process data) and ISO 8000 (Data and Information Quality). Matthew is a Visiting Professor at the University of Leeds

Director of Information Junction, UK

Table of Contents

Chapter 1: What are Data Models For?

Chapter 2: Different Sorts of Data Models

Chapter 3: Languages and Notations for Data and Data Models

Chapter 4: Layout of Data Models

Chapter 5: Reviewing and Improving Data Models

Chapter 6: High Quality Data Models

Chapter 7: Principles for Data Models

Chapter 8: A Generic Framework for a Changing World

Chapter 9: Integration of Data Models

Chapter 10: Future Directions

Product Details

ISBN:
9780123751065
Author:
West, Matthew
Publisher:
Morgan Kaufmann Publishers
Subject:
Database Management - General
Subject:
Database design
Copyright:
Publication Date:
20110131
Binding:
TRADE PAPER
Language:
English
Pages:
408
Dimensions:
9.25 x 7.5 in

Related Subjects

Business » Investing
Computers and Internet » Database » Design
Computers and Internet » Database » General
Computers and Internet » Software Engineering » Software Management

Developing High Quality Data Models New Trade Paper
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Product details 408 pages Morgan Kaufmann Publishers - English 9780123751065 Reviews:
"Synopsis" by , The path to high quality data modeling begins with Developing High Quality Data Models.
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