Summary
This chapter built on the queries from Chapter 3, Connecting To Sources And Transforming Data With M, to implement import, DirectQuery, and composite analytical data models. Relationships were created between fact and dimension tables as well as between bridge tables and the Sales and Margin Plan to enable actual versus plan reporting and analysis.
Additionally, the fundamentals of designing Power BI models were reviewed and detailed guidance on metadata and the DMVs available for analyzing memory usage was provided. Finally, guidance was provided for optimizing the performance of import, DirectQuery, and composite data models.
The following chapter continues to build on the dataset for this project by developing analytical measures and security models. The DAX expressions implemented in the next chapter directly leverage the relationships defined in this chapter and ultimately drive the visualizations and user experience demonstrated in later chapters.
