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	<title>Overheard in the tech blogosphere &#187; data warehousing</title>
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		<title>Overheard: Facebook is loving Hadoop</title>
		<link>http://itknowledgeexchange.techtarget.com/overheard/overheard-facebook-is-loving-hadoop/</link>
		<comments>http://itknowledgeexchange.techtarget.com/overheard/overheard-facebook-is-loving-hadoop/#comments</comments>
		<pubDate>Tue, 10 Jun 2008 01:53:23 +0000</pubDate>
		<dc:creator>Margaret Rouse</dc:creator>
				<category><![CDATA[Data analytics]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[Open source]]></category>

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		<description><![CDATA[Over time, we have added classic data warehouse features like partitioning, sampling and indexing to this environment. This in-house data warehousing layer over Hadoop is called Hive and we are looking forward to releasing an open source version of this project in the near future. Joydeep Sen Sarma, Hadoop]]></description>
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<td>Over time, we have added classic data warehouse features like partitioning, sampling and indexing to this environment. This in-house data warehousing layer over Hadoop is called Hive and we are looking forward to releasing an open source version of this project in the near future.</p>
<p>Joydeep Sen Sarma, <a href="http://www.facebook.com/note.php?note_id=16121578919">Hadoop</a></td>
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