Episode 205
| September 03, 2020
| 36 minutes
Data Modeling for Power BI
Power BI is founded on the idea of self-service BI and Excel is the most common data source in the world. While Power BI can import that information with ease, the data may not be in the best format. In this episode, we discuss areas report creators should consider when building Power BI reports so their reports can perform to their satisfaction and maintenance of the reports will be easier over the long run.
When you’re data modeling for Power BI, you’re optimizing for [performance and you’re optimizing for people] and there’s some overlap, but it’s important to understand that they’re different
Meet the Hosts
Carlos Chacon
With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at databasehealth.com and provides training through SQL Trail events.
Eugene Meidinger
Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.
Kevin Feasel
Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
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