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Whitepaper on modeling for AS tabular scalability

This is a guest post from Daniel Rubiolo of the Power BI Customer Advisory Team (PBI CAT).

To scale Tabular models to very big volumes of data, and with the objective of getting as much of the data as possible into memory so users can consume it in their analyses, we must consider data preparation and modeling best practices to help the engine do its best work.



Tags: design, performance, tabular


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