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Topics: hadoop

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Practical Techniques for Developing with Pig and Hadoop

By tomwhite : 28 October 2009 - 12:46 PM
There are some practical techniques that are worth knowing about when you are developing and running Pig programs. This section covers some of them.ParallelismWhen running in Hadoop mode...
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How to Benchmark a Hadoop Cluster

By tomwhite : 28 October 2009 - 12:24 PM
Is the cluster set up correctly? The best way to answer this question is empirically: run some jobs and confirm that you get the expected results. Benchmarks make good tests, as you also...
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Anatomy of a MapReduce Job Run with Hadoop

By tomwhite : 28 October 2009 - 12:16 PM
You can run a MapReduce job with a single line of code: JobClient.runJob(conf). It’s very short, but it conceals a great deal of processing behind the scenes. This section u...
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Introduction to MapReduce Workflows

By tomwhite : 28 October 2009 - 11:47 AM
So far in this chapter, you have seen the mechanics of writing a program using MapReduce. We haven’t yet considered how to turn a data processing problem into the MapReduce mode...
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Get to Know Hadoop Filesystems

By tomwhite : 28 October 2009 - 11:33 AM
Hadoop has an abstract notion of filesystem, of which HDFS is just one implementation. The Java abstract class org.apache.hadoop.fs.FileSystem represents a filesystem in Hadoop, and ther...
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Get Started Analyzing Data with Hadoop

By tomwhite : 28 October 2009 - 11:14 AM
To take advantage of the parallel processing that Hadoop provides, we need to express our query as a MapReduce job. After some local, small-scale testing, we will be able to run it on a ...
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