9
Building an Extract, Transform, Machine Learning Use Case
Similar to Chapter 8, Building an Example ML Microservice, the aim of this chapter will be to try to crystallize a lot of the tools and techniques we have learned about throughout this book and apply them to a realistic scenario. This will be based on another use case introduced in Chapter 1, Introduction to ML Engineering, where we imagined the need to cluster taxi ride data on a scheduled basis. So that we can explore some of the other concepts introduced throughout the book, we will assume as well that for each taxi ride, there is also a series of textual data from a range of sources, such as traffic news sites and transcripts of calls between the taxi driver and the base, joined ...
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