February 2017
Intermediate to advanced
274 pages
5h 58m
English
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Chapter 10. Structured Streaming
This chapter will provide a jump-start on the concepts behind Spark Streaming and how this has evolved into Structured Streaming. An important aspect of Structured Streaming is that it utilizes Spark DataFrames. This shift in paradigm will make it easier for Python developers to start working with Spark Streaming.
In this chapter, your will learn:
- What is Spark Streaming?
- Why do we need Spark Streaming?
- What is the Spark Streaming application data flow?
- Simple streaming application using DStream
- A quick primer on Spark Streaming global aggregations
- Introducing Structured Streaming
Note, for the initial sections of this chapter, the example code used will be in Scala, as this was how most Spark Streaming code was written. ...
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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.