In our second case study on dimensional modelling, we delve into the intricacies of managing time-related dimensions, focusing specifically on the « days » dimension. Unlike the date dimension, where each row signifies a specific point in time, the days dimension represents varying lengths of time, each incrementing by one. While the notion of counting days may initially seem like a measure, it takes on a dimensional role when it is banded based on calendar periods, such as months. This transformation allows us to analyze and interpret other measures in a more contextually meaningful manner.
Within the realm of dimensional