Data Modeler's Workbench: Tools and Techniques for Analysis and Design

ISBN: 978-0-471-11175-7

Paperback

496 pages

December 2001

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Description
Table of Contents
Author Information
Notes

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