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	<title>arifn &#187; Programming</title>
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		<title>Setting Up Mercurial for Netbeans Project</title>
		<link>http://arifn.web.id/blog/2011/11/30/setting-mercurial-netbeans-project.html</link>
		<comments>http://arifn.web.id/blog/2011/11/30/setting-mercurial-netbeans-project.html#comments</comments>
		<pubDate>Wed, 30 Nov 2011 15:00:11 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Java]]></category>
		<category><![CDATA[Network]]></category>
		<category><![CDATA[Programming]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=948</guid>
		<description><![CDATA[In software development, version control system (VCS) hold an important role. Especially when the project is collaborated by many programmers. Besides to keep tracks of changes, version control could helps handle task distribution and later project integration from the programmers. Basically, there are two flavors of version control system: centralized and distributed. There are many [...]
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<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/2009/03/09/creating-scrollable-jdesktoppane-on-netbeans.html' rel='bookmark' title='Creating Scrollable JDesktopPane on Netbeans'>Creating Scrollable JDesktopPane on Netbeans</a></li>
</ol>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<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/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 [...]
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<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>
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		<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/2010/01/18/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. [...]
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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>
</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>NoSQL: the End of RDBMS?</title>
		<link>http://arifn.web.id/blog/2010/05/05/nosql-the-end-of-rdbms.html</link>
		<comments>http://arifn.web.id/blog/2010/05/05/nosql-the-end-of-rdbms.html#comments</comments>
		<pubDate>Wed, 05 May 2010 07:35:52 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[NoSQL]]></category>
		<category><![CDATA[Programming]]></category>
		<category><![CDATA[MapReduce]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=717</guid>
		<description><![CDATA[What? NoSQL? Yeah, you read it correctly. NoSQL. I forgot when and where I heard about this for the first time. But I noticed about this data store technology again when I was attending the second Bancakan 2.0 meet up in last March. When I listened to the speaker, lynxluna, I remember about HBase, a [...]
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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>
</ol>]]></description>
		<wfw:commentRss>http://arifn.web.id/blog/2010/05/05/nosql-the-end-of-rdbms.html/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Wanted: Superman</title>
		<link>http://arifn.web.id/blog/2010/03/22/wanted-superman.html</link>
		<comments>http://arifn.web.id/blog/2010/03/22/wanted-superman.html#comments</comments>
		<pubDate>Mon, 22 Mar 2010 22:22:10 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Computer]]></category>
		<category><![CDATA[Programming]]></category>
		<category><![CDATA[Story]]></category>
		<category><![CDATA[graduate]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=685</guid>
		<description><![CDATA[Some days ago, there&#8217;s a vacancy offer in my undergraduate department mailing list. A company is looking for a programmer. I didn&#8217;t pay much attention to this email. Okay, here&#8217;s the email: Mr. XXX, my office needs a programmer with this qualification: Have knowledge in VB, Java, and PHP Have any experiences as a programmer/developer [...]
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</ol>]]></description>
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		<slash:comments>6</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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</ol>]]></description>
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		<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/2010/10/24/lets-get-started.html' rel='bookmark' title='Let&#8217;s Get Started'>Let&#8217;s Get Started</a></li>
</ol>]]></description>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Programming Hadoop in Netbeans</title>
		<link>http://arifn.web.id/blog/2010/01/23/hadoop-in-netbeans.html</link>
		<comments>http://arifn.web.id/blog/2010/01/23/hadoop-in-netbeans.html#comments</comments>
		<pubDate>Sat, 23 Jan 2010 14:25:15 +0000</pubDate>
		<dc:creator>arifn</dc:creator>
				<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[Programming]]></category>
		<category><![CDATA[Java]]></category>

		<guid isPermaLink="false">http://arifn.web.id/blog/?p=618</guid>
		<description><![CDATA[Hadoop MapReduce is an Open Source implementation of MapReduce programming model for processing large scale of data in distributed environment. Hadoop is implemented in Java as a class library. There are some distribution for Hadoop, from Apache, Cloudera, and Yahoo! Meanwhile, Netbeans is an integrated development environment (or IDE) for programming in Java and many [...]
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</ol>]]></description>
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		<slash:comments>74</slash:comments>
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