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Grain Theory: Type-Level Granularity Correctness in Data Pipelines
Data pipelines fail silently when a transformation changes the grain of the data, the level of detail each element represents, without the designer intending it; fan traps and chasm traps are the familiar symptoms. Dimensional modeling has used grain informally since the 1990s. We define grain by ir
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