<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	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:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>PerformancePoint Blog &#187; Teradata</title>
	<atom:link href="http://performancepointblog.com/tag/teradata/feed/" rel="self" type="application/rss+xml" />
	<link>http://performancepointblog.com</link>
	<description>A Blog about PerformancePoint, SQL Reporting Services and all the nummy BI technologies that interact with them</description>
	<lastBuildDate>Fri, 16 Jul 2010 01:02:22 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.0</generator>
		<item>
		<title>Speeding up SQL Analysis Services DSV table selection against Teradata</title>
		<link>http://performancepointblog.com/2008/05/speeding-up-sql-analysis-services-dsv-table-selection-against-teradata/</link>
		<comments>http://performancepointblog.com/2008/05/speeding-up-sql-analysis-services-dsv-table-selection-against-teradata/#comments</comments>
		<pubDate>Tue, 20 May 2008 20:02:24 +0000</pubDate>
		<dc:creator>Russell</dc:creator>
				<category><![CDATA[SQL Analysis Services]]></category>
		<category><![CDATA[SQL Server Analysis Services]]></category>
		<category><![CDATA[Teradata]]></category>

		<guid isPermaLink="false">http://performancepointblog.com/?p=5</guid>
		<description><![CDATA[A couple of days ago I needed to create a new DSV against a Teradata source. I found that the &#8220;lag&#8221; in the normally light-on-its feet DSV wizard was pretty bad - it took in the neighborhood of 1.5 minutes for the Add Related Tables function to return when I tried it against FactResellerSales (I have AdventureWorks DW [...]]]></description>
			<content:encoded><![CDATA[<div style="float: right; width: 42px; padding-right: 10px; margin: 0 0 0 10px;">
		<script type="text/javascript">
		<!--
		digg_url = "http://performancepointblog.com/2008/05/speeding-up-sql-analysis-services-dsv-table-selection-against-teradata/";
		digg_bgcolor = "";
		digg_skin = "";
		digg_window = "";
		digg_title = "Speeding+up+SQL+Analysis+Services+DSV+table+selection+against+Teradata";
		digg_media = "";
		digg_topic = "";
		digg_bodytext = "";
		//-->
		</script>
		<script src="http://digg.com/tools/diggthis.js" type="text/javascript"></script></div><p>A couple of days ago I needed to create a new DSV against a Teradata source. I found that the &#8220;lag&#8221; in the normally light-on-its feet DSV wizard was pretty bad - it took in the neighborhood of 1.5 minutes for the <strong>Add Related Tables</strong> function to return when I tried it against FactResellerSales (I have AdventureWorks DW loaded up in Teradata).</p>
<p>I was lucky to be in a LiveMeeting with some guys from Teradata who watched me struggle through this process, and they gave me some hints to make my life better &#8211; well, my data-related life, anyway:</p>
<ul>
<li>Use the .NET provider for Teradata version 12  (I was using the latest 8.1 Provider)</li>
<li>In the data source for the project, make sure to set the database name you are connecting to in the <strong>Database</strong> property found in the <strong>All</strong> properties dialog</li>
<li>In the same <strong>All</strong> properties list for the provider, set <strong>Use X Views</strong> to false</li>
</ul>
<p>These three changes dropped my &#8220;wait time&#8221; from 1.5 minutes to 11 seconds. Can&#8217;t wait to see if queries against my ROLAP partitions come back more quickly.</p>
<p>Thanks Teradata guys!</p>
]]></content:encoded>
			<wfw:commentRss>http://performancepointblog.com/2008/05/speeding-up-sql-analysis-services-dsv-table-selection-against-teradata/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
