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Topics: mapreduce

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Why CouchDB?

By adfm : 02 February 2010 - 01:24 PM
In this excerpt from CouchDB: The Definitive Guide the authors urge developers to kick back and get to know this document-oriented database and its RESTful interface. Apache CouchDB is one of a new...
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Big Data -- A link roundup

By adfm : 08 December 2009 - 12:07 AM
Big Data is when your data is so large you seriously have to consider how you're going to organize, store, and manage it in order to gain some benefit from it. Here are a few links to get you star...
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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 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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