This chapter developed and described several common classes of DAX measures, including date intelligence, dimension metrics, and ranking metrics. These measures utilized the fact and dimension tables accessed in Chapter 2, Connecting to Sources and Transforming Data with M, as well as the data model relationships defined in Chapter 3, Designing Import and DirectQuery Data Models. In addition to detailed measure examples, primary concepts of the DAX including filter context, row context, measure evaluation, and DAX variables were also reviewed. Moreover, examples of standard and DRLS models were shared, and DAX Studio was presented as a tool for testing and tuning DAX.

In the following chapter, Power BI reports will be created which leverage the dataset that has been incrementally developed since Chapter 2, Connecting to Sources and Transforming Data with M. Report-authoring features, such as the visualization types in Power BI Desktop, will access the DAX measures from this chapter and the dimensions from previous chapters to deliver business insights and intuitive, self-service functionality.