Summary
In this chapter, we walked through an example of how to take the tools and techniques from the first seven chapters of this book and apply them together to solve a realistic business problem. We discussed in detail how the need for a dynamically triggered forecasting algorithm can lead very quickly to a design that requires several small services to interact seamlessly. In particular, we created a design with components responsible for handling events, training models, storing models, and performing predictions. We then walked through how we would choose our toolset to build to this design in a real-world scenario, by considering things such as appropriateness for the task at hand, as well as likely developer familiarity. Finally, we carefully defined the key pieces of code that would be required to build the solution to solve the problem repeatedly and robustly.
In the next, and final, chapter, we will build out an example of a batch ML process. We will name the pattern...