Summary

In this chapter, we explored data access and data security on the Tableau platform. We began by adding users and groups to Tableau Server or Cloud.

We spent time creating and using Tableau projects to manage data models and content access and capabilities. We learned that locked projects are the best practice for managing access to data models across an organization.

Then, we looked at managing access to the data inside models using RLS. We saw how RLS works using manual user filters and adding users by using entitlements tables. Then, we discussed the pros and cons of each approach.

In the final two sections of this chapter, we looked at Tableau virtual connections and native database security to manage secure user access to the data within our data models.

We will look at data modeling considerations for Ask Data and Explain Data in the next chapter. These are machine learning capabilities for casual users that work best when our data models are tailored for each...