May 2018
Intermediate to advanced
256 pages
7h 6m
English
Content preview from OpenStack for Architects - Second Edition
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Storing Data – Hadoop
So how? Well, remember Hadoop? Hadoop is an industry standard framework for storing and analyzing a large dataset with a fault-tolerant Hadoop-distributed filesystem and a MapReduce (MapR) implementation. In recent years, the term Hadoop has come to refer to the framework and ecosystem of projects, not just Hortonworks, HDFS, or MapReduce. In the example mentioned later, we will use HDFS and MapReduce as examples. However, there are many other open source options for Hadoop filesystems and data processing.
HDFS is a filesystem used to prevent data loss similar to the way RAID prevents it; however, HDFS is a bit different. HDFS by default stores three copies of each data block in the cluster on different nodes in the ...
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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.
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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.