The Wal-Mart data warehouse is still the world's largest, most famous, and most ambitious commercial database. Data Warehousing: Using the Wal-Mart Model is a practical guide to both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way.
Two things really set this book apart. One, it is the only resource to focus on the special data needs of retail businesses -- including both the market issues that make the data important and the organizational issues that affect the data's collection and use. Two, it focuses explicitly and comprehensively on the development of the Wal-Mart data warehouse, showing readers how the same principles that drove this enormous project can be applied in other projects, large and small.
Paul Westerman is a Global Marketing Manager for Compaq Computers, Inc. He began his retail career with Wal-Mart, where he was one of the four people responsible for designing and building the Wal-Mart data warehouse-still the world's largest. Since then, Paul has played a key role in many very large data warehouses projects around the world-in the retail industry, telephone industry, and other areas-and has spoken to audiences around the world about the benefits of applying the data warehouse technology to business. He holds a BS in Computing and Information Sciences from Oklahoma State University.
CHAPTER 1 - WHAT IS DATA WAREHOUSING? CHAPTER 2 - PROJECT PLANNING CHAPTER 3 - BUSINESS EXPLORATION CHAPTER 4 - BUSINESS CASE STUDY AND ROI ANALYSIS CHAPTER 5 - ORGANIZATIONAL INTEGRATION CHAPTER 6 - TECHNOLOGY CHAPTER 7 - TECHNOLOGY - DATABASE MAINTENANCE CHAPTER 8 - TECHNICAL CONSTRUCTION OF THE WAL-MART DATA WAREHOUSE CHAPTER 9 - POST-IMPLEMENTATION OF THE WAL-MART DATA WAREHOUSE CHAPTER 10 - STORE OPERATIONS SAMPLE ANALYSES CHAPTER 11 - MERCHANDISING SAMPLE ANALYSES APPENDIX A - RETAIL FORMULAS