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Hi,
with dataflows, I can have an "ingest" dataflow that brings raw data in and persists it in the enhanced compute engine. I can then have dependent dataflows that use linked entities to perform additional transformations at database speeds.
Is there a similar capability with datamarts? I'm trying to pull in a lot of audit log data from text files and then apply additional transformations to the log data. But if I try to "reference" the raw data in a datamart, I'm getting an error that query folding is not allowed and the job blows up.
This is pretty frustrating as I know the data is getting persisted into Azure SQL server...but I can't figure out how to load the raw data first, and then have lots of other tables generated from that.
Thanks in advance!
Scott
Solved! Go to Solution.
Hi @ScottPowellECU ,
Please take "incorporate both dataflows and datamarts" into consideration.
In some cases it can be useful to incorporate both dataflows and datamarts in the same solution. The following situations could find incorporating both dataflows and datamarts advantageous:
For solutions with existing dataflows:
For solutions with existing datamarts:
For more details, please refer to:
Introduction to datamarts - Power BI | Microsoft Docs
Understand datamarts (preview) - Power BI | Microsoft Docs
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @ScottPowellECU ,
Please take "incorporate both dataflows and datamarts" into consideration.
In some cases it can be useful to incorporate both dataflows and datamarts in the same solution. The following situations could find incorporating both dataflows and datamarts advantageous:
For solutions with existing dataflows:
For solutions with existing datamarts:
For more details, please refer to:
Introduction to datamarts - Power BI | Microsoft Docs
Understand datamarts (preview) - Power BI | Microsoft Docs
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.