Data Shaping for Power BI in Fabric
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Description
You might have heard the news: Building visuals and creating DAX measures in Power BI is easier when your data model is in shape.
You can consider a data model being in shape when it contains a date (or time) table and has all fact tables normalized and all dimension tables denormalized. You should also replace flags and indicators with meaningful texts, duplicate dimensions for role-playing purposes, create bin tables for range of values, etc.
In this talk Markus will show you in live demos how you bring your data model into shape: trimming off the fat of your fact tables and adding muscles to your dimension tables with the help of Fabrics workloads. Follow Markus’ step-by-step guide to learn how you can make the life of Power BI report creators easy.
Data Shaping for Power BI in Fabric