Summary
In this chapter, we 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 how when we build a data model, we are indeed making a semantic layer in Power BI. We also covered some star schema and snowflaking concepts, which are essential to model our data more efficiently. We then covered different Power BI licensing considerations and how they can potentially affect our data modeling. Lastly, we looked at the data modeling iterative approach to deliver a more precise and more reliable data model that solves many problems that the report writers may face down the road.
In the next chapter, we will look at DAX and data modeling. We will discuss a somewhat confusing topic, virtual tables, and we will walk you through some common time intelligence scenarios to help you with your future data modeling tasks.
