August 2017
Beginner to intermediate
278 pages
6h 40m
English
book
Building Data Streaming Applications with Apache Kafka
by Chanchal Singh, Manisha Sethi, Manish Kumar, Anshul Joshi
Content preview from Building Data Streaming Applications with Apache Kafka
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Summary
We walked you through some of the aspects of using Kafka in big data applications. By the end of this chapter, you should have clear understanding of how to use Kafka in big data Applications. Volume is one of the important aspects of any big data application. Therefore, we have a dedicated section for it in this chapter, because you are required to pay attention to granular details while managing high volumes in Kafka. Delivery semantics is another aspect you should keep in mind. Based on your choice of delivery semantics, your processing logic would differ. Additionally, we covered some of the best ways of handling failures without any data loss and some of the governance principles that can be applied while using Kafka in big data ...
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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.