Behind the Scenes in Power BI: Tips to Streamline Data Modeling

The Dashboard Effect

Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

5M ago 8:55

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This week, Brick and Caleb get a bit technical and discuss how to improve Power BI report performance through effective semantic modeling and minimizing data transformation with Power BI. They unpack the challenges of managing data transformations directly within Power BI and highlight the advantages of using serverless SQL views instead. Their insights will help Power BI report developers avoid common pitfalls, streamline data processing, and improve Power BI report performance.
Jump to a Section:
0:40 How Blue Margin approaches semantic modeling with serverless SQL views
1:45 Power BI is not an ETL tool, so use SQL instead
2:34 How tight does governance around semantic models need to be?
5:23 What is the optimal level of complexity for a semantic model?
Watch this episode on our YouTube channel.

Blue Margin increases enterprise value for PE-backed, mid-market companies by serving as their fractional data team. We advise on, build, and manage data platforms. Our strategy, proven with over 300 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

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