Data Modeler's Workbench
Tools and Techniques for Analysis and Design
Published on 8. April 2002
496 pages
978-0-471-23339-8 (ISBN)
Description
A goldmine of valuable tools for data modelers!
Data modelers render raw data-names, addresses, and salestotals, for instance-into information such as customer profiles andseasonal buying patterns that can be used for making criticalbusiness decisions. This book brings together thirty of the mosteffective tools for solving common modeling problems. The authorprovides an example of each tool and describes what it is, why itis needed, and how it is generally used to model data for bothdatabases and data warehouses, along with tips and warnings. Blanksample copies of all worksheets and checklists described areprovided in an appendix.
Companion Web site features updates on the latest tools andtechniques, plus links to related sites offering automatedtools.
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01/2002
Wiley
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STEVE HOBERMAN is the Lead Data Warehouse Developer for Mars, Inc. He has been data modeling since 1990 for the telecommunications, financial, and manufacturing industries. He speaks regularly at The Data Warehousing Institute conferences on advanced data modeling.
Content
Foreword
Introduction
Acknowledgments
PART 1: BUILDING THE FOUNDATION
Chapter 1 Using Anecdotes, Analogies, and Presentations toIllustrate Data Modeling Concepts
Chapter 2 Meta Data Bingo
Chapter 3 Ensuring High-Quality Definitions
Chapter 4 Project Planning for the Data Modeler
PART 2: ANALYZING THE REQUIREMENTS
Chapter 5 Subject Area Analysis
Chapter 6 Subject Area Modeling
Chapter 7 Logical Data Analysis
PART 3: MODELING THE REQUIREMENTS AND SOME ADVICE
Chapter 8 The Normalization Hike and Denormalization SurvivalGuide
Chapter 9 The Abstraction Safety Guide and Components
Chapter 10 Data Model Beauty Tips
Chapter 11 Planning a Long and Prosperous Career in DataModeling
Suggested Reading
Index
