Data Model Patterns: A Metadata Map
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Data Model Patterns: A Metadata Map

1st Edition - June 23, 2006

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  • Author: David Hay
  • Hardcover ISBN: 9780120887989
  • eBook ISBN: 9780080477039

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Description

Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers.

Key Features

  • A comprehensive work based on the Zachman Framework for information architecture—encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation)
  • Provides a step-by-step description of model and is organized so that different readers can benefit from different parts
  • Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.)
  • Presents many concepts that are not currently being addressed by such tools — and should be

Readership

Data management professionals, including data analysts; data modeling and design professionals; data warehouse and database repository designers.

Table of Contents

  • The Morgan Kaufmann Series in Data Management Systems: Series Editor: Jim Gray, Microsoft Research

    Dedication

    Dedication

    PREFACE

    FOREWORD

    Chapter 1: ABOUT METADATA MODELS

    WHAT ARE METADATA?*

    IN SEARCH OF METADATA

    THE ARCHITECTURE FRAMEWORK*

    METAMODELS AND THE FRAMEWORK

    THE NOTATION: OBJECT AND ENTITY CLASSES

    LEVEL OF ABSTRACTION

    Chapter 2: DATA

    DATA AND THE ARCHITECTURE FRAMEWORK

    THE BUSINESS OWNER AND BUSINESS RULES

    ROW TWO: BUSINESS TERMS, CONCEPTS, AND FACT TYPES

    ROW THREE: THE ENTITY-RELATIONSHIP DIAGRAM

    ROW FOUR: DATA DESIGN

    ROW SIX: THE PRODUCTION SYSTEM

    Chapter 3: ACTIVITIES, FUNCTIONS, AND PROCESSES

    ACTIVITIES AND THE ARCHITECTURE FRAMEWORK

    DEFINITIONS

    TYPES OF PROCESS MODELS

    ROW TWO: FUNCTIONS AND BUSINESS PROCESSES

    ROW THREE: PROCESSING DATA

    ROW FOUR: PROGRAM MODULES

    ROW SIX: PROGRAM INVENTORY*

    Chapter 4: LOCATIONS

    ABOUT LOCATIONS

    ROW TWO: PLACING PARTIES, BUSINESS PROCESSES, AND MOTIVATION

    ROW THREE: DATA FLOW DIAGRAMS

    ROW FOUR: PLACING DATA AND PROGRAMS

    ROW SIX: SYSTEM INVENTORY

    Chapter 5: PEOPLE AND ORGANIZATIONS

    THE PEOPLE AND ORGANIZATIONS COLUMN

    ABOUT PEOPLE AND ORGANIZATIONS

    ROW TWO: THE BUSINESS OWNER’S VIEW

    ROW THREE: THE ARCHITECT’S VIEW

    ROW FOUR: THE DESIGNER’S VIEW

    ROW SIX: SECURITY AND GOVERNANCE

    Chapter 6: EVENTS AND TIMING

    THE EVENTS AND TIMING COLUMN

    ROW TWO: BUSINESS EVENT TYPES

    ROW THREE: SYSTEM EVENTS

    ROW FOUR: PROGRAM EVENTS

    Chapter 7: MOTIVATION

    THE MOTIVATION COLUMN

    ROW THREE: THE ARCHITECT’S VIEW

    ROW FOUR: THE DESIGNER’S VIEW

    ROW SIX: MEASURING DATA QUALITY

    GLOSSARY

    REFERENCES AND FURTHER READING

    ABOUT THE AUTHOR

    INDEX

Product details

  • No. of pages: 432
  • Language: English
  • Copyright: © Morgan Kaufmann 2006
  • Published: June 23, 2006
  • Imprint: Morgan Kaufmann
  • Hardcover ISBN: 9780120887989
  • eBook ISBN: 9780080477039

About the Author

David Hay

Affiliations and Expertise

Founder and President of Essential Strategies, Inc., Houston, Texas.

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