We all have heard that Power BI works best if we design the dataset following the star schema paradigm. But creating a star schema comes with a price. We spent more effort on the data shaping, and sometimes it requires some mind-boggling thinking to identify the dimension tables and the fact tables.
This session explains the price we have to pay if we are not creating a start schema and provides a glimpse into aspects of advanced data modeling. Advanced data modeling comes into play when we create a model that takes away complexity from our DAX measures and supports the strength of the vertipaq engine.