Summary
This chapter discussed the different layers of Power BI and what is accessible in which layer. Therefore, when we face an issue, we know exactly where we should look to fix the problem. Then, we discussed making a semantic layer when building a data model in Power BI. We also discussed some star schema and snowflaking concepts essential to an efficient data model. We then covered different Power BI licensing considerations and how they can affect our data modeling. Lastly, we looked at the data modeling iterative approach to deliver a precise and reliable data model that solves many problems that the report writers may face down the road.
The next chapter looks at DAX and data modeling. We discuss a somewhat confusing topic, virtual tables. We also look into time intelligence scenarios that help with many data modeling tasks.
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