With a new approach different from the approaches in the previous chapters, in this chapter and the next chapter, we will start with a set of huge amount of data and then let the data lead us. In other words, we will apply Spark machine learning to certain types of big datasets, and then the data needs and new insights will guide our machine learning to result in useful and actionable insights, by taking advantage of the processes made easily and fast with Apache Spark. As for this chapter, we will work on telco data, and then, for the next chapter, we will work on open data made available by various levels of governments.

By following a similar process adopted in the previous chapters, in this chapter, we will first review machine learning methods and related Spark computing to use Telco Data to learn more about customer behavior insights. We will then discuss how Apache Spark comes in to make them easy as before. At the same time, with this real...