October 2018
Beginner
220 pages
5h 33m
English
Content preview from Apache Hadoop 3 Quick Start Guide
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Data flow patterns of HDFS
In this section, we will look at the different types of data flow patterns in HDFS. HDFS serves as storage for all processed data. The data may arrive with different velocity and variety; it may require extensive processing before it is ready for consumption by an application. Apache Hadoop provides frameworks such as MapReduce and YARN to process the data. We will be covering the data variety and velocity aspect in a later part of this chapter. Let's look at the different data flow patterns that are possible with HDFS.
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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.