Best practices for designing dimension and fact tables in data warehouses, covering grain definition, surrogate keys, denormalization, indexing, partitioning, and data type selection. Also addresses dimension table design principles like standardizing attributes and regular reviews. Includes guidance on leveraging data
Table of contents
IntroductionDefine Dimension and Fact Tables in Data WarehousingStructure Fact Tables for Optimal PerformanceImplement Best Practices for Dimension Table DesignLeverage Technology for Enhanced Data Governance and ObservabilityConclusionFrequently Asked QuestionsList of SourcesSort: