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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Moving Kafka data to HDFS
We have discussed the integration of Apache Kafka with various frameworks, which can be used for real-time or near-real-time streaming. Apache Kafka can store data for a configured time of retention period; the default is seven days.
Data will be removed from Kafka when the retention period expires. The organization does not want to lose data, and in many cases, they need data for some batch processing to generate monthly, weekly, or yearly reports. We can store historical records for further processing into a cheap and fault-tolerant storage system such as HDFS.
Kafka data can be moved to HDFS and can be used for different purposes. We will talk about the following four ways of moving data from Kafka to HDFS:
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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.