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joshua1990
Post Prodigy
Post Prodigy

Improve Databricks / Apache Spark Dataflow

Hi experts!

I'm looking for some guidelines, tips and tricks etc to improve a dataflow that is based on a Databricks / Spark connection.

Since this type of source does not support query folding, the refresh takes some time.

I already have reduced the number of steps to a minimum. In general, there are just simples filter for the time horizon etc. No transformations are done.

2 REPLIES 2
v-yangliu-msft
Community Support
Community Support

Hi  @joshua1990 ,

This is the related document, you can view this content:

https://medium.datadriveninvestor.com/my-dataset-is-taking-too-long-to-refresh-843fd8fd4a51

https://data-marc.com/2020/06/09/how-to-keep-your-power-bi-dataflows-organized-and-optimized/

https://docs.microsoft.com/en-us/power-bi/guidance/power-bi-optimization

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

joshua1990
Post Prodigy
Post Prodigy

No ideas?

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