<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:media="http://search.yahoo.com/mrss/"
		>
<channel>
	<title>Comments on: SQLAuthority News &#8211; Whitepaper Download &#8211; Using Star Join and Few-Outer-Row Optimizations to Improve Data Warehousing Queries</title>
	<atom:link href="http://blog.sqlauthority.com/2011/01/16/sqlauthority-news-whitepaper-download-using-star-join-and-few-outer-row-optimizations-to-improve-data-warehousing-queries/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.sqlauthority.com/2011/01/16/sqlauthority-news-whitepaper-download-using-star-join-and-few-outer-row-optimizations-to-improve-data-warehousing-queries/</link>
	<description>SQL, SQL Server, MySQL, Big Data and NoSQL</description>
	<lastBuildDate>Tue, 18 Jun 2013 16:46:54 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.com/</generator>
	<item>
		<title>By: Anuradha</title>
		<link>http://blog.sqlauthority.com/2011/01/16/sqlauthority-news-whitepaper-download-using-star-join-and-few-outer-row-optimizations-to-improve-data-warehousing-queries/#comment-140879</link>
		<dc:creator><![CDATA[Anuradha]]></dc:creator>
		<pubDate>Tue, 14 Jun 2011 12:39:43 +0000</pubDate>
		<guid isPermaLink="false">http://blog.sqlauthority.com/?p=11654#comment-140879</guid>
		<description><![CDATA[Hi Pinal I liked ur site very much ,its very usefull.
I am fresher so pls can u send me materials related to sql.
I will be very Thankfull to you.]]></description>
		<content:encoded><![CDATA[<p>Hi Pinal I liked ur site very much ,its very usefull.<br />
I am fresher so pls can u send me materials related to sql.<br />
I will be very Thankfull to you.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ramdas</title>
		<link>http://blog.sqlauthority.com/2011/01/16/sqlauthority-news-whitepaper-download-using-star-join-and-few-outer-row-optimizations-to-improve-data-warehousing-queries/#comment-111677</link>
		<dc:creator><![CDATA[Ramdas]]></dc:creator>
		<pubDate>Tue, 18 Jan 2011 14:40:52 +0000</pubDate>
		<guid isPermaLink="false">http://blog.sqlauthority.com/?p=11654#comment-111677</guid>
		<description><![CDATA[Thanks for the article. The kind of architecture in place plays a great role in determining how efficient the data warehouse will behave. It is important to keep things like data volume and data growth in mind while planning out ETL/DW solutions.]]></description>
		<content:encoded><![CDATA[<p>Thanks for the article. The kind of architecture in place plays a great role in determining how efficient the data warehouse will behave. It is important to keep things like data volume and data growth in mind while planning out ETL/DW solutions.</p>
]]></content:encoded>
	</item>
</channel>
</rss>
