Data Modeler's Workbench: Tools and Techniques for Analysis and Design
暫譯: 數據模型師工作台：分析與設計的工具與技術

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.

Table of Contents

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.

Index.