April 2015
Beginner to intermediate
194 pages
4h 18m
English
Content preview from Hadoop EssentialsBecome 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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MapReduce
MapReduce is a massive parallel processing framework that processes faster, scalable, and fault tolerant data of a distributed environment. Similar to HDFS, Hadoop MapReduce can also be executed even in commodity hardware, and assumes that nodes can fail anytime and still process the job. MapReduce can process a large volume of data in parallel, by dividing a task into independent sub-tasks. MapReduce also has a master-slave architecture.
The input and output, even the intermediary output in a MapReduce job, are in the form of <Key, Value> pair. Key and Value have to be serializable and do not use the Java serialization package, but have an interface, which has to be implemented, and which can be efficiently serialized, as the data process ...
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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.