A comprehensive guide to fact and dimension tables in data warehousing, covering their definitions, types (transactional, periodic snapshot, accumulating snapshot, factless, bridge fact tables; slowly changing dimensions, conformed dimensions, junk attributes, role-playing, degenerate dimensions), implementation steps, best practices (surrogate keys, narrow fact tables, proper indexing), and common design mistakes to avoid. Includes references to Ralph Kimball's dimensional modeling principles and ETL loading strategies.
Table of contents
IntroductionDefine Fact and Dimension Tables in Data WarehousingExplore Types of Fact and Dimension TablesImplement Fact and Dimension Tables in Data WarehousingIdentify Best Practices and Common Mistakes in Table DesignBest Practices:Common Mistakes:ConclusionFrequently Asked QuestionsList of SourcesSort: