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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Camus
LinkedIn first created Kafka for its own log processing use case. As discussed, Kafka stores data for a configured period of time, and the default is seven days. The LinkedIn team felt the need to store data for any batch-reporting purpose or to use it later. Now, to store data in HDFS, which is a distributed storage file system, they started developing a tool that can use a distributed system capability to fetch data from Kafka. They developed Camus, a tool developed using map reduce API to copy data from Kafka to HDFS.
Camus is just a map-reduce job that has the capability of performing incremental copying of data. It means it will not copy the data from the last committed offset.
The following image gives a good idea of the Camus ...
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