Learning the Tools for Performance Tuning
Until now, we have looked at Power BI performance from a relatively high level. You have learned which areas of Power BI performance can be impacted by your design decisions and what to consider when making these choices. Those decisions were architectural, so were about choosing the right components to ensure the most efficient movement of data to suit your data volume and freshness requirements.
However, this knowledge alone is not sufficient and will not guarantee good performance. With the gateways in the previous chapter, we saw how a single component of the solution can be configured and optimized quite heavily. This applies to most of the other areas of Power BI, so now we will begin to look at performance tools that can help us pinpoint issues.
In Chapter 2, Exploring Power BI Architecture and Configuration, we looked at storage modes for Power BI datasets and learned about Import, DirectQuery (DQ), and Direct Lake (DL). For Power...
