Summary
We began this chapter with a discussion of the Tableau Data-Handling Engine (DHE). This illustrated the flexibility Tableau provides in working with data. It is important to understand the DHE in order to ensure that data-mining efforts are intelligently focused. Otherwise, effort may be wasted on activities not relevant to Tableau.
Next we discussed data-mining and knowledge-discovery process models with an emphasis on CRISP-DM. The purpose of this discussion was to get an appropriate bird's-eye view of the scope of the entire data-mining effort. Tableau authors (and certainly end users) can become so focused on the reporting produced in deployment that they forget or short-change the other phases, particularly Data Preparation.
Our last ...
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