How to deal with huge datasets in DirectQuery mode ?

[clementalba]

Hi everyone, 

I'm new to Power BI and I try to build some reports using tables containing an average of 1M records for each, so I work in DirectQuery mode.

Well, first, I have deleted all the unnecessary columns from all my tables and then build my model. My model is "good", I can filter data through different tables but I'm facing a problem. Some filters take a very very long time to load and make my SQL Server CPU use 100%.

After thinking about the question, I am wondering if create some views directly on SQL Server and then connect to these views in DirectQuery mode to create my model is a good solution. Even better, use these views to create a "big view" in SQL Server (where I join all my views and select only the data I want to build my reports) and then create a connection to this big view in DirectQuery mode. With this solution, I only have one table to manage in Power BI and build my reports will be easier. 

I think these two solutions could work, but as I'm new to Power BI, I don't know if delegate all the work to SQL Server is a good practice... Can anyone shed some light on this?

Best regards, 

Clément

[clementalba]

Thanks a lot @Idrissshatila  for your very quick and accurate answer !

[Idrissshatila · Accepted solution]

Hello @clementalba ,

yes, when you create a view and do the transformation in SQL its less pressure on Power BI in processing thus better performance.

in this case, you will be using Power BI as a visualisation tool which is better for performance.

If I answered your question, please mark my post as solution, Appreciate your Kudos 👍

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