August 2015
Intermediate to advanced
278 pages
5h 54m
English
Content preview from Learning YARNBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 12. Real-time Data Analytics Using YARN
Hadoop is known for batch processing of data available in HDFS through MapReduce programming. The data is placed in HDFS before it can be queried for analysis. The Hadoop services execute only MapReduce jobs. The cluster resources are not fully utilized for other operations when the resources are ideal.
This is considered as a limitation for use cases that required processing of data in real time. Apache Storm and Spark are the frameworks developed for processing data in real time. These frameworks need an efficient cluster's ResourceManager. Focusing on a common solution for the preceding limitations in Hadoop, YARN evolved as a generic framework to provide resource management and application execution ...
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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.