In the previous chapter, we covered how we can create a log processing application with Storm and Kafka.
In this chapter, we are covering another important use case of Storm machine learning.
The following are the major topics covered in this chapter:
- Exploring machine learning
- Using Kafka producer to store the tweets in a Kafka cluster
- Using Kafka Spout to read the data from Kafka
- Using Storm Bolt to filter the tweets
- Using Storm Bolt to calculate the sentiments of tweets
- Deployment of topologies
