Summary

In this chapter, you learned how to connect to various data sources, which is the foremost step in data analysis in Tableau. Next, you learned about the various join options that Tableau provides and data transformation options to optimize the data for the final visualization. Joining tables is one of the most common requirements in practical data analysis. For instance, if you have two tables for employee details and department details, to find the number of employees per department, you would use a join key to get the required information.

You also learned about some advanced data joining options of blending and custom SQL. The key takeaway from this chapter is how to connect data most efficiently based on the requirements and also how to transform the data so that it becomes more suitable for the visualization activity. The next chapter continues with the topic of data preparation in Tableau Prep.