Session resources: Patterns for adopting dataflows in Power BI

This morning I presented a new webinar for the Istanbul Power BI user group, covering one of my favorite subjects: common patterns for successfully using and adopting dataflows in Power BI.

This session represents an intersection of my data culture series in that it presents lessons learned from successful enterprise customers, and my dataflows series in that… in that it’s about dataflows. I probably didn’t need to point out that part.

The session slides can be downloaded here: 2020-09-23 – Power BI Istanbul – Patterns for adopting dataflows in Power BI

The session recording is available for on-demand viewing. The presentation is around 50 minutes, with about 30 minutes of dataflows-centric Q&A at the end. Please check it out, and share it with your friends!

 

Dataflows, or Data Flows?

I don’t hear this question as often as I used to[1], but I still hear it: What’s the difference between dataflows in Power BI and Data Flows in Azure Data Factory?

I’ve already written extensively on the Power BI side of things, and now the awesome Merrill Aldrich from BlueGranite has published an excellent overview of the ADF feature on the BlueGranite blog. You should check it out here: https://www.blue-granite.com/blog/ssis-inspired-visual-data-transformation-comes-to-azure-data-factory

I’m not going to summarize the similarities and differences in this post, but after you’ve read Merrill’s article, I’d love to hear your specific questions.


[1] This may or may not be because I’ve been on vacation for the past three weeks.