The Data Warehouse Lifecycle Toolkit

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The book covers best practices from data warehouse project inception through on-going program management. About 30 to 40% of the content in the book is updated and new. This revised tutorial covers major lifecycle topics such as dimensional modeling, tech architecture, ETL, BI etc. It is targeted at both novice and experienced data warehouse professionals. About The Author Ralph Kimball is known worldwide as an innovator, writer, educator, speaker and consultant in the field of data warehousing. His books on data warehousing and dimensional design techniques have become the all time best sellers in data warehousing. To date Ralph has written more than 100 articles and columns for Intelligent Enterprise and its predecessors, winning the Readers Choice Award five years in a row. Margy Ross is President of the Kimball Group. She has focused exclusively on decision support and data warehousing for more than twenty years. In addition to her consulting activities, Margy teaches Kimball University classes, both domestically and internationally. She co-authored The Data Warehouse Toolkit, 2nd Edition and The Data Warehouse Lifecycle Toolkit and regularly writes the Data Warehouse Designer column for Intelligent Enterprise. Bob Becker has worked to implement large-scale decision support and data warehousing systems since 1990. Bob teaches Kimball University on-site courses. Joy Mundy has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Warren Thornthwaite has been building decision support and data warehousing systems since 1980 Table Of Contents Acknowledgments Introduction Introducing the Kimball Lifecycle Collecting the Requirements Introducing the Technical Architecture Creating the Architecture Plan and Selecting Products Introducing Dimensional Modeling Designing the Dimensional Model Designing the Physical Database and Planning for Performance Introducing Extract, Transformation, and Load Introducing Business Intelligence Applications Designing and Developing Business Intelligence Applications Deploying and Supporting the DW/BI System Expanding the DW/BI System Glossary