In data warehousing, what does the term "grain" refer to in the context of fact tables?
- The level of detail or granularity at which data is stored in the fact table
- The number of columns in the fact table
- The primary key of the fact table
- The size of the fact table
In data warehousing, the term "grain" refers to the level of detail or granularity at which data is stored in the fact table. It defines what each row in the fact table represents, whether it's at a daily, monthly, or another level of detail. Determining the appropriate grain is crucial for accurate analysis and reporting.
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