Architecture and Implementation
BUY THIS BOOK
A start-to-finish process for deploying successful data warehouses
This book delivers what every data warehousing project participant needs most: a thorough overview of today’s best solutions, and a reliable step-by-step process for building warehouses that meet their objectives. It answers the key questions asked by everyone involved in a data warehouse initiative: project sponsors, developers, managers, and CIOs. And, with over 70 figures, it doesn’t just tell you how to get the job done: it shows you.
- Migration strategies and scenarios
- Warehouse management, maintenance, and support issues
- 12 steps for implementation
- Best techniques for schema design and metadata
- Choosing the right hardware, software, and platforms
Learn to evolve your data warehouse as new technologies mature – including metadata interchange standards and Web solutions. Whatever your goals, Data Warehousing: Architecture and Implementation will help you achieve them faster and at lower cost.
Get trial versions of two powerful data warehousing tools!
- R/olapXL Client lets business users run queries and reports through Microsoft Excel, without programming
- Warehouse Designer enables DBAs to structure data warehouses fast, through a GUI front-end
About the Author
Mark Humphries is President and CEO of Intranet Business Systems, Inc., Pasig City, The Philippines. He has over 16 years experience in management and consulting throughout Europe, North America, and Asia. He was European Director for Hitachi’s Information and Graphics Systems affiliate, and led major warehousing projects for two large U.S. utilities.
Michael W. Hawkins is an IT management consultant with over 18 years experience. He currently specializes in designing, implementing, and managing IT infrastructures for a variety of companies throughout Asia.
Michelle C. Dy is a Business Analyst at Intranet Business Systems, Inc., specializing in methods consulting, BPR, planning, analysis, and design. She is responsible for defining the company’s data warehousing methodology.