September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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Summary
In this chapter, we acquainted the reader with Flink architecture. We discussed KAPPA architecture and how Flink works. There are different sources and sinks available with Flink. Examples of sources such as Kafka and RabbitMQ were explained. Examples of sinks such as Cassandra were explained with Kafka as a source. Flink gives us DataSet and DataFrame API for stream and batch processing respectively. We explained the different transformations available with each API. There are two advanced level libraries provided by Flink: CEP and Gelly. CEP is used for real-time processing with pattern implementations. Gelly is a graph API over Flink. In the end, we have given the reader problems to solve for themselves.
In the next chapter, we ...
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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.