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	<title>arifn &#187; MapReduce</title>
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		<title>Running Hadoop Cluster in Netbeans</title>
		<link>http://arifn.web.id/blog/2011/03/15/running-hadoop-cluster-in-netbeans.html</link>
		<comments>http://arifn.web.id/blog/2011/03/15/running-hadoop-cluster-in-netbeans.html#comments</comments>
		<pubDate>Tue, 15 Mar 2011 02:38:41 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[MapReduce]]></category>
		<category><![CDATA[Programming]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=858</guid>
		<description><![CDATA[In the development phase of Hadoop MapReduce program, you will be involved with testing your program on a real cluster with small data to make sure that it&#8217;s working correctly. To do that, you must package your application into jar file, then run it with Hadoop jar command on the terminal. Then, you check the [...]
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<li><a href='http://arifn.web.id/blog/2010/01/23/hadoop-in-netbeans.html' rel='bookmark' title='Programming Hadoop in Netbeans'>Programming Hadoop in Netbeans</a></li>
<li><a href='http://arifn.web.id/blog/2010/07/29/running-hadoop-single-cluster.html' rel='bookmark' title='Hadoop on Single Node Cluster'>Hadoop on Single Node Cluster</a></li>
<li><a href='http://arifn.web.id/blog/2011/02/16/quickly-switching-hadoop-mode.html' rel='bookmark' title='Quickly Switching Hadoop Mode'>Quickly Switching Hadoop Mode</a></li>
</ol>]]></description>
		<wfw:commentRss>http://arifn.web.id/blog/2011/03/15/running-hadoop-cluster-in-netbeans.html/feed</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Quickly Switching Hadoop Mode</title>
		<link>http://arifn.web.id/blog/2011/02/16/quickly-switching-hadoop-mode.html</link>
		<comments>http://arifn.web.id/blog/2011/02/16/quickly-switching-hadoop-mode.html#comments</comments>
		<pubDate>Wed, 16 Feb 2011 10:35:22 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[MapReduce]]></category>
		<category><![CDATA[Programming]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=837</guid>
		<description><![CDATA[The Three Modes of Hadoop As you may already knew, we can configure and use Hadoop in three modes. These modes are: Standalone mode This mode is the default mode that you get when you&#8217;re downloading and extracting Hadoop for the first time. In this mode, Hadoop didn&#8217;t utilize HDFS to store input and output [...]
Related posts:<ol>
<li><a href='http://arifn.web.id/blog/2010/07/29/running-hadoop-single-cluster.html' rel='bookmark' title='Hadoop on Single Node Cluster'>Hadoop on Single Node Cluster</a></li>
<li><a href='http://arifn.web.id/blog/2011/03/15/running-hadoop-cluster-in-netbeans.html' rel='bookmark' title='Running Hadoop Cluster in Netbeans'>Running Hadoop Cluster in Netbeans</a></li>
<li><a href='http://arifn.web.id/blog/2010/01/23/hadoop-in-netbeans.html' rel='bookmark' title='Programming Hadoop in Netbeans'>Programming Hadoop in Netbeans</a></li>
</ol>]]></description>
		<wfw:commentRss>http://arifn.web.id/blog/2011/02/16/quickly-switching-hadoop-mode.html/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Let&#8217;s Get Started</title>
		<link>http://arifn.web.id/blog/2010/10/24/lets-get-started.html</link>
		<comments>http://arifn.web.id/blog/2010/10/24/lets-get-started.html#comments</comments>
		<pubDate>Sun, 24 Oct 2010 15:33:37 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Computer]]></category>
		<category><![CDATA[Graduate Arc]]></category>
		<category><![CDATA[MapReduce]]></category>
		<category><![CDATA[Programming]]></category>
		<category><![CDATA[Story]]></category>
		<category><![CDATA[graduate]]></category>
		<category><![CDATA[graduation]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=808</guid>
		<description><![CDATA[Hello, it has been a while since I updated this blog. I&#8217;m a little busy with college stuffs and something like that. And finally, I have came to the last year of my graduate study. After doing some consultations with some professors in my college, I got something as my research focus. Actually, it still [...]
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<li><a href='http://arifn.web.id/blog/2010/02/03/introduction-mapreduce-part-1.html' rel='bookmark' title='Yet Another Introduction to MapReduce (part 1)'>Yet Another Introduction to MapReduce (part 1)</a></li>
<li><a href='http://arifn.web.id/blog/2010/01/18/research-plan.html' rel='bookmark' title='Research Plan'>Research Plan</a></li>
</ol>]]></description>
		<wfw:commentRss>http://arifn.web.id/blog/2010/10/24/lets-get-started.html/feed</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Hadoop on Single Node Cluster</title>
		<link>http://arifn.web.id/blog/2010/07/29/running-hadoop-single-cluster.html</link>
		<comments>http://arifn.web.id/blog/2010/07/29/running-hadoop-single-cluster.html#comments</comments>
		<pubDate>Thu, 29 Jul 2010 23:56:58 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[MapReduce]]></category>
		<category><![CDATA[Programming]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=776</guid>
		<description><![CDATA[Hello there? S&#8217;up? On my previous post, we&#8217;ve learned how to develop Hadoop MapReduce application in Netbeans. After our application run well on the Netbeans, now it&#8217;s the time to deploy it on cluster of computers. Well, it supposed to be multi node cluster, but for now, let&#8217;s try it on a single node cluster. [...]
Related posts:<ol>
<li><a href='http://arifn.web.id/blog/2011/03/15/running-hadoop-cluster-in-netbeans.html' rel='bookmark' title='Running Hadoop Cluster in Netbeans'>Running Hadoop Cluster in Netbeans</a></li>
<li><a href='http://arifn.web.id/blog/2011/02/16/quickly-switching-hadoop-mode.html' rel='bookmark' title='Quickly Switching Hadoop Mode'>Quickly Switching Hadoop Mode</a></li>
<li><a href='http://arifn.web.id/blog/2010/01/23/hadoop-in-netbeans.html' rel='bookmark' title='Programming Hadoop in Netbeans'>Programming Hadoop in Netbeans</a></li>
</ol>]]></description>
		<wfw:commentRss>http://arifn.web.id/blog/2010/07/29/running-hadoop-single-cluster.html/feed</wfw:commentRss>
		<slash:comments>7</slash:comments>
		</item>
		<item>
		<title>Yet Another Introduction to MapReduce (part 2)</title>
		<link>http://arifn.web.id/blog/2010/03/13/introduction-to-mapreduce-2.html</link>
		<comments>http://arifn.web.id/blog/2010/03/13/introduction-to-mapreduce-2.html#comments</comments>
		<pubDate>Sat, 13 Mar 2010 13:40:10 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Computer]]></category>
		<category><![CDATA[MapReduce]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=640</guid>
		<description><![CDATA[I&#8217;m sorry for the long delay from the first part. I&#8217;ve been pretty busy lately. On this part, I write about the idea of MapReduce, how is it work, and how it distributes the data and process. This article is heavily referenced from MapReduce paper by Google. I write it again to deepen my knowledge [...]
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<li><a href='http://arifn.web.id/blog/2009/05/03/just-another-function.html' rel='bookmark' title='Just Another Function'>Just Another Function</a></li>
<li><a href='http://arifn.web.id/blog/2010/07/29/running-hadoop-single-cluster.html' rel='bookmark' title='Hadoop on Single Node Cluster'>Hadoop on Single Node Cluster</a></li>
</ol>]]></description>
		<wfw:commentRss>http://arifn.web.id/blog/2010/03/13/introduction-to-mapreduce-2.html/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Yet Another Introduction to MapReduce (part 1)</title>
		<link>http://arifn.web.id/blog/2010/02/03/introduction-mapreduce-part-1.html</link>
		<comments>http://arifn.web.id/blog/2010/02/03/introduction-mapreduce-part-1.html#comments</comments>
		<pubDate>Wed, 03 Feb 2010 10:03:45 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[MapReduce]]></category>
		<category><![CDATA[Programming]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=630</guid>
		<description><![CDATA[There are so many article outside about what is MapReduce, the basic concepts behind it, how it works, and many other things. Even that, I still wanna write a little introduction to MapReduce. It&#8217;s mandatory, at least for me, to write about “something” in order to understand the “something”. I challenge my understanding about MapReduce [...]
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<li><a href='http://arifn.web.id/blog/2010/03/13/introduction-to-mapreduce-2.html' rel='bookmark' title='Yet Another Introduction to MapReduce (part 2)'>Yet Another Introduction to MapReduce (part 2)</a></li>
<li><a href='http://arifn.web.id/blog/2011/02/16/quickly-switching-hadoop-mode.html' rel='bookmark' title='Quickly Switching Hadoop Mode'>Quickly Switching Hadoop Mode</a></li>
<li><a href='http://arifn.web.id/blog/2010/10/24/lets-get-started.html' rel='bookmark' title='Let&#8217;s Get Started'>Let&#8217;s Get Started</a></li>
</ol>]]></description>
		<wfw:commentRss>http://arifn.web.id/blog/2010/02/03/introduction-mapreduce-part-1.html/feed</wfw:commentRss>
		<slash:comments>2</slash:comments>
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