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amirabedhiafi
Impactful Individual
Impactful Individual

Optimizing Data Model

One of the sources of my PowerBI file uses a mammoth view. This view aggregates data from three huge tables (SQL database), each with more than 10 million rows. The view filters down the output to the transactions from 1st July 2018 on. Even so, there are well in excess 7 million rows.

Due to the size of the PowerBI file (badly in need of optimization), 650Mb, the automatic data refresh fails sometimes; its visuals do not always display the content expected.
The file does not function properly.

My question for you is: do you know of a method to import efficiently data coming from such a view? I understand that incremental refreshing does not work on views, but on tables without any filtering.

Amira Bedhiafi
Full Stack Business Intelligence Consultant @Capgemini
1 ACCEPTED SOLUTION
SpiroswayGR
Resolver III
Resolver III

@amirabedhiafi 

Maybe you should try to remove unnecessarily fields and then transform some specific fields with many decimals (with 2 decimals or whole number whenever is possible).

 

With this way i made a good reduction on my data from 200 mbyte to 100mbyte.

View solution in original post

2 REPLIES 2
v-kelly-msft
Community Support
Community Support

Hi @amirabedhiafi ,

 

Check the blog below:

https://www.sqlbi.com/articles/data-import-best-practices-in-power-bi/

 

Best Regards,
Kelly

Did I answer your question? Mark my post as a solution!

SpiroswayGR
Resolver III
Resolver III

@amirabedhiafi 

Maybe you should try to remove unnecessarily fields and then transform some specific fields with many decimals (with 2 decimals or whole number whenever is possible).

 

With this way i made a good reduction on my data from 200 mbyte to 100mbyte.

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