Data Grain: What’s the Right Level of Granularity When Building Data Models
In the world of data and analytics, one of the most common errors we come across is the failure to declare the data grain in fact tables when beginning the design process. If the grain isn’t defined clearly, the whole project is at risk of collapse because you can quickly introduce errors into the design….
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