February 2016
Beginner to intermediate
326 pages
7h 46m
English
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Summary
In this chapter, we have discussed the architecture of Kinesis for processing real-time data feeds. We have explored/developed producers and consumers of Kinesis streams using the AWS APIs. At the end, we also talked about the higher level APIs, such as KPL and KCL, as recommended mechanisms for creating Kinesis producers and consumers, along with their samples.
In the next chapter, we will talk about Apache Spark, which has revolutionized the industry by introducing a new paradigm for batch and real-time data processing.
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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.