Apply & Commit: Define Grain for a Live Dataset
Commit to using an explicit grain statement on one real dataset in progress.
A dataset you are currently modeling or reshaping for analytics Use this on a live warehouse table where row meaning is still under discussion or likely to drift as stakeholders add requests. One row per [business event or snapshot] at [level of detail], with [core additive facts] and excluding [exceptions that belong elsewhere]. The sales team is requesting a new revenue table and the draft spec still lists columns before it states what one row means. You are adding fields to an existing fact table and the new requests may mix header-level values with line-level events. A stakeholder wants one…
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