In this chapter, we introduced the topic of machine learning. You also learned how to run K-means clustering algorithms over Storm using Trident-ML and then use the generated model to predict the category of data using DRPC.

Although we used Trident-ML in this chapter, there are other machine learning packages also available for Storm. Storm.pattern (GitHub repository: https://github.com/quintona/storm-pattern) is one such library that can import models from other non-Storm packages, such as R, Weka, and so on.

With this, we come to the end of this book. Through the course of this book, we have come a long way from taking our first steps with Apache Storm to developing real-world applications with it. Here, we would like to summarize everything that we learned.

We introduced you to the basic concepts and components of Storm and covered how we can write and deploy/run the topology in the local and clustered modes. We also walk through the basic commands of Storm and cover how we can...