We began this chapter with a discussion of data densification and discovered that there are two types of data densification: domain completion and domain padding. While reviewing these two types of data densification, we learned how to how each can be deployed, when each is useful, and when each can be a problem.
Next, we learned how to work with cubes. Tableau knowledge base articles were discussed, as well additional techniques using data blending to address some of the limitations that are inherent when accessing cubes as data sources.
Lastly, we explored big data. We surveyed Massively Parallel Processing (MPP) and walked through an example of using Tableau to connect to Google BigQuery.
Having completed three chapters of data-centric discussion, we will discuss table calculations in the next chapter. We will focus that discussion on directional and non-directional table calculation functions, as well as partitioning and addressing.