This workflow is used to serve the Performance and Scalability Examples. As it generates data with the same attributes randomly, it can be use to generate datasets of various sizes. They will all generate similar models, but will require more processing power. The data we are generating here is a customer data set. You get different features of the customers as the number of products they buy, their gender or income. Show how to generate the whole shopping basket. How to use existing informations for it and how everything can finally be exported for mining.
This is a companion discussion topic for the original entry at https://kni.me/w/EYT4awgcKhVoVmGI