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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Running example
Flink provides a streaming API called Flink DataStream API to process continuous unbounded streams of data in realtime.
To start using Datastream API, you should add the following dependency to the project. Here, we are using sbt for build management.
org.apache.Flink" %% "Flink-scala" % "1.0.0
In the next few steps, we will create a word count program which reads from a socket and displays the word count in realtime.
- Get the Streaming environment: First of all we have to create the streaming environment on which the program runs. We will discuss deployment modes later in this chapter:
val environment = StreamExecutionEnvironment.getExecutionEnvironment
StreamExecutionEnvironment is similar to spark context.
- Import streaming ...
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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.