In data warehousing, 'grain' refers to the level of detail or the granularity of the data stored in fact tables. It defines what a single record in a fact table represents, such as individual transactions, daily sales, or monthly summaries. Understanding the grain is crucial because it determines how data can be analyzed and what dimensions can be joined to the facts, affecting the overall analytical capabilities of a data warehouse.
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