In this chapter, we focused on the application of Hadoop in the marketing domain. We started by gaining a basic understanding of classification and supervised learning. We learned a machine learning tool known as BigML to build a classification model for Furnitica to predict the campaign response. We used this model in a MapReduce job to generate predictions of the response. You should be aware that building a good model is a highly specialized job performed by trained data scientists. In this chapter, we have demonstrated how such a model can be built and executed on Hadoop without going into the merits and quality of the predictions generated by the model itself.
In the next chapter of this book, we will cover the topic of churn prediction in the telecom domain.