August 2017
Beginner to intermediate
278 pages
6h 40m
English
book
Building Data Streaming Applications with Apache Kafka
by Chanchal Singh, Manisha Sethi, Manish Kumar, Anshul Joshi
Content preview from Building Data Streaming Applications with Apache Kafka
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Kafka Streams
We have seen Stream processing engines such as Apache Spark and Apache Storm in the previous chapters. These processing engines require separate installation and maintenance efforts. Kafka Streams is a tool to process and analyze data stored in Kafka topics. The Kafka Stream library is built based on popular Stream processing concepts that allow you to run your streaming application on the Kafka cluster itself.
We will look into the terminology used in Kafka Streams; however, a detailed walk-through of Kafka Stream is covered in the upcoming chapter. Kafka Streams has a few concepts similar to what we had in Apache Storm; they are listed as follows:
- Streams: Streams is an unbounded set of records that can be used for processing. ...
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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.