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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 technolog… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
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.
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
DH