November 2010
Intermediate to advanced
336 pages
11h 16m
English
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Chapter 6. Programming Practices
This chapter covers
- Best practices unique to developing Hadoop programs
- Debugging programs in local, pseudo-distributed, and fully distributed modes
- Sanity checking and regression testing program outputs
- Logging and monitoring
- Performance tuning
Now that you’ve gone through various programming techniques in MapReduce, this chapter will step back and cover programming practices.
Programming on Hadoop differs from traditional programming mainly in two ways. First, Hadoop programs are primarily about processing data. Second, Hadoop programs are run over a distributed set of computers. These two differences will change some aspects of your development and debugging processes, which we cover in sections 6.1 ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.