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As we seem to mention this on almost every episode, we decided to devote an entire podcast to it - pre-aggregation.

To start off with, a matter of terminology.  The official terminology is "aggregation".  In the title we talk about pre-aggregation - this is a matter of clarity since every aggregate function (sum, average etc) carries out an aggregation.  What is officially called aggregation is a technique that aggregates the data in-memory during the loading process and link these aggregations to your measure definitions.

The documentation describes the basics of how to build aggregations, but as ever, Reza Rad has a fantastic tutorial on how to do this.

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