<?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/"
	>
<channel>
	<title>Comments on: The power of Excel-friendly OLAP</title>
	<atom:link href="http://blog.srlanger.com/2007/02/12/the-power-of-excel-friendly-olap/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.srlanger.com/2007/02/12/the-power-of-excel-friendly-olap/</link>
	<description>Just another Knowledge Worker</description>
	<pubDate>Tue, 06 Jan 2009 01:46:29 +0000</pubDate>
	<generator>http://wordpress.org/?v=MU</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: Andreas Flockermann</title>
		<link>http://blog.srlanger.com/2007/02/12/the-power-of-excel-friendly-olap/#comment-372</link>
		<dc:creator>Andreas Flockermann</dc:creator>
		<pubDate>Sat, 17 Feb 2007 15:11:54 +0000</pubDate>
		<guid isPermaLink="false">http://srlanger.wordpress.com/2007/02/12/the-power-of-excel-friendly-olap/#comment-372</guid>
		<description>This is the old quarrel between MOLAP and AS cube supporters. To say MOLAP is faster than AS is not correct. It depends a lot of the type of application you build. When you build a big, attribute rich cube, based on a large data warehouse Analysis Services is much faster and scales much better than a MOLAP cube. For financial cubes, budgeting and consolidation applications where on-the-fly modeling and write back is essential MOLAP cubes are faster and provide the end user with more end user modeling features than the more IT-centered Analysis Services cube. Sometimes it makes even sense to combine both cubes. I have seen applications where TM1 cubes were uses for budgeting and Analysis Services cubes for reporting.</description>
		<content:encoded><![CDATA[<p>This is the old quarrel between MOLAP and AS cube supporters. To say MOLAP is faster than AS is not correct. It depends a lot of the type of application you build. When you build a big, attribute rich cube, based on a large data warehouse Analysis Services is much faster and scales much better than a MOLAP cube. For financial cubes, budgeting and consolidation applications where on-the-fly modeling and write back is essential MOLAP cubes are faster and provide the end user with more end user modeling features than the more IT-centered Analysis Services cube. Sometimes it makes even sense to combine both cubes. I have seen applications where TM1 cubes were uses for budgeting and Analysis Services cubes for reporting.</p>
]]></content:encoded>
	</item>
</channel>
</rss>
