Data Warehousing: Using the Wal-Mart Model / Edition 1by Paul Westerman
Pub. Date: 09/01/2000
Publisher: Elsevier Science
At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an insider's view of this enormous project. Continuously drawing from this example,/i>… See more details below
At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way.
What further sets this book apart is its focus on the informational needs of retail companies-including both market and organizational issues that affect the data's collection and use. If retail is your field, this book will prove especially valuable as you develop and implement your company's ideal data warehouse solution.
• Written by a member of the team of four engineers who designed and built the Wal-Mart Data Warehouse database, a team whose database design was recognized internally in 1991 by Wal-Mart with the company's Team Innovational Technical award.
• Provides essential information for project managers, consultants, data warehouse managers, and data architects.
• Takes an in-depth look at a wide range of technical issues, including architecture, construction approaches, tool selection, database system selection, and maintenance.
• Addresses issues specific to retail business: vendors, inventory, sales analysis, geography, article categories, and more.
• Explains how to determine business requirements at the outset of the project-and how to develop return on investment analyses after the warehouse has been brought online.
- Elsevier Science
- Publication date:
- Morgan Kaufmann Series in Data Management Systems Series
- Product dimensions:
- 0.65(w) x 9.25(h) x 7.50(d)
Table of Contents
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
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