There are several features in Snowflake that contribute to your environment's performance and scalability. Two of the most important in my experience have been micro-partitions and clustering. In short, micro-partitions are the fundamental storage units of Snowflake, and clustering is a feature that organizes data...
One of Snowflake's key selling points is automated clustering. However, it's not immediately clear what this actually means. It's easy to make the assumption that you will never need to think about how your data is clustered, and this is generally the case for tables...
The final example of using distance calculations in Tableau looks at clustering cities based on their relative distance to a selected set of points. This is based on the table calculation method we looked at in the previous two sections, with the formula I called...
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