Parallel query execution

Parallel query execution is a game-changer for performance. Suppose you have a massive dataset, and you want to process it more quickly. By splitting the table into smaller parts using Table.Split, you can enable parallel processing, drastically reducing query execution times.

This can be done using code such as the following in your M query:

let
    Source = ... // Your data source
    SplitTable = Table.Split(Source, 4) // Split the table into 4 partitions
in
    SplitTable

In this code, we use the Table.Split function to divide a large table into smaller partitions, enabling parallel processing. Each partition is processed simultaneously, which can often result in significantly reducing query execution times. It must be said, though, that using Table.Split in this code on its own won’t inherently reduce query execution times, but it’s a step towards enabling parallel processing...