September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Chapter 5. Real-Time Analytics with Spark Streaming and Structured Streaming
Spark Streaming supports real-time processing of fast moving, streaming data to gain insights for business and make business decisions in real-time or near real-time. It is an extension to Spark core to support stream processing. Spark Streaming is production-ready and is used in many organizations. This chapter helps you get started with writing real-time applications including Kafka and HBase. This chapter also helps you to get started with the new concept of Structured Streaming introduced in Spark 2.0.
This chapter is divided into the following sub-topics:
- Introducing real-time processing
- Architecture of Spark Streaming
- Stateless and stateful stream processing
- Transformations ...
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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.