How to Use Partitioning in an Analysis Services Tabular model to Improve Processing Performance

I have a large Tabular model in Analysis Services Tabular 2017. Especially the fact table, it is very large, with a row count in the millions. Processing the table takes quite some time. How can I reduce the processing time?

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