February 2016
Beginner to intermediate
326 pages
7h 46m
English
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Chapter 3. Processing Data with Storm
This chapter will focus primarily on reading and processing the data using Storm. The key aspect being covered here will comprise of the ability of Storm to consume data from various sources, processing and transforming the same, and storing it to data stores. We will also help you to understand these concepts and give examples of filters, joins, and aggregators.
In this chapter, we will cover the following topics:
- Storm input sources
- Meet Kafka
- Reliability of data processing
- Storm simple patterns
- Storm persistence
Storm input sources
Storm works well with a variety of input data sources. Consider the following examples:
- Kafka
- RabbitMQ
- Kinesis
Storm is actually a consumer and process of the data. It has to be coupled ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.