Data Modeler's Workbench (PDF)
Tools and Techniques for Analysis and Design
(Sprache: Englisch)
A goldmine of valuable tools for data modelers!
Data modelers render raw data-names, addresses, and sales
totals, for instance-into information such as customer profiles and
seasonal buying patterns that can be used for making critical
business...
Data modelers render raw data-names, addresses, and sales
totals, for instance-into information such as customer profiles and
seasonal buying patterns that can be used for making critical
business...
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A goldmine of valuable tools for data modelers!
Data modelers render raw data-names, addresses, and sales
totals, for instance-into information such as customer profiles and
seasonal buying patterns that can be used for making critical
business decisions. This book brings together thirty of the most
effective tools for solving common modeling problems. The author
provides an example of each tool and describes what it is, why it
is needed, and how it is generally used to model data for both
databases and data warehouses, along with tips and warnings. Blank
sample copies of all worksheets and checklists described are
provided in an appendix.
Companion Web site features updates on the latest tools and
techniques, plus links to related sites offering automated
tools.
Data modelers render raw data-names, addresses, and sales
totals, for instance-into information such as customer profiles and
seasonal buying patterns that can be used for making critical
business decisions. This book brings together thirty of the most
effective tools for solving common modeling problems. The author
provides an example of each tool and describes what it is, why it
is needed, and how it is generally used to model data for both
databases and data warehouses, along with tips and warnings. Blank
sample copies of all worksheets and checklists described are
provided in an appendix.
Companion Web site features updates on the latest tools and
techniques, plus links to related sites offering automated
tools.
Inhaltsverzeichnis zu „Data Modeler's Workbench (PDF)“
Foreword Introduction Acknowledgments PART 1: BUILDING THE FOUNDATION Chapter 1 Using Anecdotes, Analogies, and Presentations to Illustrate 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 Survival Guide Chapter 9 The Abstraction Safety Guide and Components Chapter 10 Data Model Beauty Tips Chapter 11 Planning a Long and Prosperous Career in Data Modeling Suggested Reading Index
Autoren-Porträt von Steve Hoberman
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.
Bibliographische Angaben
- Autor: Steve Hoberman
- 2002, 1. Auflage, 496 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0471233390
- ISBN-13: 9780471233398
- Erscheinungsdatum: 08.04.2002
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- Grösse: 2.59 MB
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Sprache:
Englisch
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