November 2010
Intermediate to advanced
336 pages
11h 16m
English
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Chapter 3. Components of Hadoop
This chapter covers
- Managing files in HDFS
- Analyzing components of the MapReduce framework
- Reading and writing input and output data
In the last chapter we looked at setting up and installing Hadoop. We covered what the different nodes do and how to configure them to work with each other. Now that you have Hadoop running, let’s look at the Hadoop framework from a programmer’s perspective. If the previous chapter is like teaching you how to connect your turntable, your mixer, your amplifier, and your speakers together, then this chapter is about the techniques of mixing music.
We first cover HDFS, where you’ll store data that your Hadoop applications will process. Next we explain the MapReduce framework in ...
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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.