August 2017
Beginner to intermediate
284 pages
6h 51m
English
Content preview from Mastering Apache Storm
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Twitter Tweet Collection and Machine Learning
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
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.