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 Ochs द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Brick Thompson, Jon Thompson, Caleb Ochs, Brick Thompson, Jon Thompson, and Caleb Ochs या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

6M ago 8:55

MP3•एपिसोड होम

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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