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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Spark Streaming
Spark Streaming is built on top of Spark core engine and can be used to develop a fast, scalable, high throughput, and fault tolerant real-time system. Streaming data can come from any source, such as production logs, click-stream data, Kafka, Kinesis, Flume, and many other data serving systems. Spark streaming provides an API to receive this data and apply complex algorithms on top of it to get business value out of this data. Finally, the processed data can be put into any storage system. We will talk more about Spark Streaming integration with Kafka in this section.
Basically, we have two approaches to integrate Kafka with Spark and we will go into detail on each:
- Receiver-based approach
- Direct approach
The receiver-based ...
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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.