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	<title>Comments on: Scaling Pinterest and adventures in database sharding</title>
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	<link>http://gigaom.com/2012/09/27/scaling-pinterest-and-adventures-in-database-sharding/</link>
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		<title>By: Matt Watson</title>
		<link>http://gigaom.com/2012/09/27/scaling-pinterest-and-adventures-in-database-sharding/#comment-1027514</link>
		<dc:creator><![CDATA[Matt Watson]]></dc:creator>
		<pubDate>Sun, 30 Sep 2012 03:51:24 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=567359#comment-1027514</guid>
		<description><![CDATA[This sounds like a case where Windows Azure&#039;s SQL federations could scale infinitely. It auto shards a database by certain keys.  We decided to manually shard our database, but in the right circumstance, perhaps something as simple as Pinterest, SQL federations may solve it. http://msdn.microsoft.com/en-us/library/windowsazure/hh597452.aspx]]></description>
		<content:encoded><![CDATA[<p>This sounds like a case where Windows Azure&#8217;s SQL federations could scale infinitely. It auto shards a database by certain keys.  We decided to manually shard our database, but in the right circumstance, perhaps something as simple as Pinterest, SQL federations may solve it. <a href="http://msdn.microsoft.com/en-us/library/windowsazure/hh597452.aspx" rel="nofollow">http://msdn.microsoft.com/en-us/library/windowsazure/hh597452.aspx</a></p>
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		<title>By: foxinni</title>
		<link>http://gigaom.com/2012/09/27/scaling-pinterest-and-adventures-in-database-sharding/#comment-1024520</link>
		<dc:creator><![CDATA[foxinni]]></dc:creator>
		<pubDate>Fri, 28 Sep 2012 16:47:16 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=567359#comment-1024520</guid>
		<description><![CDATA[Epic epic epic. Love reading these scale stories. Thanks.]]></description>
		<content:encoded><![CDATA[<p>Epic epic epic. Love reading these scale stories. Thanks.</p>
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		<title>By: Doron Levari</title>
		<link>http://gigaom.com/2012/09/27/scaling-pinterest-and-adventures-in-database-sharding/#comment-1024388</link>
		<dc:creator><![CDATA[Doron Levari]]></dc:creator>
		<pubDate>Fri, 28 Sep 2012 16:01:25 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=567359#comment-1024388</guid>
		<description><![CDATA[Reblogged this on: http://database-scalability.blogspot.com/2012/09/being-successful-like-pinterest-without.html]]></description>
		<content:encoded><![CDATA[<p>Reblogged this on: <a href="http://database-scalability.blogspot.com/2012/09/being-successful-like-pinterest-without.html" rel="nofollow">http://database-scalability.blogspot.com/2012/09/being-successful-like-pinterest-without.html</a></p>
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		<title>By: Doron Levari</title>
		<link>http://gigaom.com/2012/09/27/scaling-pinterest-and-adventures-in-database-sharding/#comment-1023998</link>
		<dc:creator><![CDATA[Doron Levari]]></dc:creator>
		<pubDate>Fri, 28 Sep 2012 13:50:09 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=567359#comment-1023998</guid>
		<description><![CDATA[I find it amazing that sharding, or in other words the idea of &quot;scale out by splitting and parallelizing data across shared-nothing commodity-hardware&quot; is not supplied &quot;out of the box&quot; by the infrastructure (such as database). It&#039;s like the database has outsourced it to the application... 

ScaleBase (http://www.scalebase.com) (disclaimer: I work there) is a maker of a complete scale-out solution an &quot;automatic scale-out machine&quot; if you like. I think Pinterest story is great, and great outcome, but it&#039;s not always the case with this complex matter, and a generic, repeatable, IT-level solution for Scale Out can make it much easier for all other &quot;Pinterests&quot; out there to make the right choice and enjoy the great benefits - without the tremendous efforts and labor in home-grown sharding.]]></description>
		<content:encoded><![CDATA[<p>I find it amazing that sharding, or in other words the idea of &#8220;scale out by splitting and parallelizing data across shared-nothing commodity-hardware&#8221; is not supplied &#8220;out of the box&#8221; by the infrastructure (such as database). It&#8217;s like the database has outsourced it to the application&#8230; </p>
<p>ScaleBase (<a href="http://www.scalebase.com" rel="nofollow">http://www.scalebase.com</a>) (disclaimer: I work there) is a maker of a complete scale-out solution an &#8220;automatic scale-out machine&#8221; if you like. I think Pinterest story is great, and great outcome, but it&#8217;s not always the case with this complex matter, and a generic, repeatable, IT-level solution for Scale Out can make it much easier for all other &#8220;Pinterests&#8221; out there to make the right choice and enjoy the great benefits &#8211; without the tremendous efforts and labor in home-grown sharding.</p>
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	<item>
		<title>By: lkafle</title>
		<link>http://gigaom.com/2012/09/27/scaling-pinterest-and-adventures-in-database-sharding/#comment-1023217</link>
		<dc:creator><![CDATA[lkafle]]></dc:creator>
		<pubDate>Fri, 28 Sep 2012 05:00:59 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=567359#comment-1023217</guid>
		<description><![CDATA[Reblogged this on &lt;a href=&quot;http://lkafle.wordpress.com/2012/09/28/1761/&quot; rel=&quot;nofollow&quot;&gt;lava kafle kathmandu nepal&lt;/a&gt;.]]></description>
		<content:encoded><![CDATA[<p>Reblogged this on <a href="http://lkafle.wordpress.com/2012/09/28/1761/" rel="nofollow">lava kafle kathmandu nepal</a>.</p>
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