“Grain Declaring the grain is the pivotal step in a dimensional design. The grain establishes exactly what a single fact table row represents. The grain declaration becomes a binding contract on the design. The grain must be declared before choosing dimensions or facts because every candidate dimension or fact must be consistent with the grain. This consistency enforces a uniformity on all dimensional designs that is critical to BI application performance and ease of use. Atomic grain refers to the lowest level at which data is captured by a given business process. We strongly encourage you to start by focusing on atomic-grained data because it withstands the assault of unpredictable user queries; rolled-up summary grains are important for performance tuning, but they pre-suppose the business's common questions. Each proposed fact table grain results in a separate physical table; different grains must not be mixed in the same fact table.”
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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
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Ralph Kimball1,016 ratings, average rating, 61 reviews
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