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	<title>Comments on: Why MapReduce matters to SQL data warehousing</title>
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	<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/</link>
	<description>Choices in data management and analysis</description>
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		<title>By: MapReduce replacing complex SQL queries - Enterprise IT Consultant Views on Technologies and Trends</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-187008</link>
		<dc:creator>MapReduce replacing complex SQL queries - Enterprise IT Consultant Views on Technologies and Trends</dc:creator>
		<pubDate>Mon, 11 Oct 2010 07:01:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-187008</guid>
		<description>[...] Considering that MapReduce excels in aggregation and computation, data warehousing and business intelligence are the first to adopt MapReduce. A very interesting article on how MapReduce is relevant to Data Warehousing products is available at http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/. [...]</description>
		<content:encoded><![CDATA[<p>[...] Considering that MapReduce excels in aggregation and computation, data warehousing and business intelligence are the first to adopt MapReduce. A very interesting article on how MapReduce is relevant to Data Warehousing products is available at <a href="http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/" rel="nofollow">http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/</a>. [...]</p>
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	<item>
		<title>By: NoSQL? &#124; DBMS2 -- DataBase Management System Services</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-128295</link>
		<dc:creator>NoSQL? &#124; DBMS2 -- DataBase Management System Services</dc:creator>
		<pubDate>Wed, 01 Jul 2009 07:33:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-128295</guid>
		<description>[...] MapReduce is an exception, in that it&#8217;s designed for analytics. MapReduce may be useful for enterprises. But where it is, it probably should be integrated into an analytic DBMS. [...]</description>
		<content:encoded><![CDATA[<p>[...] MapReduce is an exception, in that it&#8217;s designed for analytics. MapReduce may be useful for enterprises. But where it is, it probably should be integrated into an analytic DBMS. [...]</p>
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	<item>
		<title>By: MapReduce: An exclusive Software Framework for Distributed Systems by Google &#171; Hashim&#8217;s Blog</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-120402</link>
		<dc:creator>MapReduce: An exclusive Software Framework for Distributed Systems by Google &#171; Hashim&#8217;s Blog</dc:creator>
		<pubDate>Thu, 07 May 2009 21:54:51 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-120402</guid>
		<description>[...] http://en.wikipedia.org/wiki/Map_Reduce • DMBS2, Why MapReduce matters to SQL data warehousing http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/ • The Database Column, MapReduce: A major step backwards, By David DeWitt on January 17, 2008 [...]</description>
		<content:encoded><![CDATA[<p>[...] <a href="http://en.wikipedia.org/wiki/Map_Reduce" rel="nofollow">http://en.wikipedia.org/wiki/Map_Reduce</a> • DMBS2, Why MapReduce matters to SQL data warehousing <a href="http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/" rel="nofollow">http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/</a> • The Database Column, MapReduce: A major step backwards, By David DeWitt on January 17, 2008 [...]</p>
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	<item>
		<title>By: Aster Data in the cloud &#124; DBMS2 -- DataBase Management System Services</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-110004</link>
		<dc:creator>Aster Data in the cloud &#124; DBMS2 -- DataBase Management System Services</dc:creator>
		<pubDate>Tue, 10 Feb 2009 20:49:19 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-110004</guid>
		<description>[...] and wish Aster wouldn&#8217;t tie its marketing identity so closely to the admittedly cool supports-MapReduce feature. That said, I do think Aster&#8217;s nPath story is pretty interesting, and I plan to blog about [...]</description>
		<content:encoded><![CDATA[<p>[...] and wish Aster wouldn&#8217;t tie its marketing identity so closely to the admittedly cool supports-MapReduce feature. That said, I do think Aster&#8217;s nPath story is pretty interesting, and I plan to blog about [...]</p>
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	<item>
		<title>By: CouchDB/0</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-101363</link>
		<dc:creator>CouchDB/0</dc:creator>
		<pubDate>Thu, 06 Nov 2008 21:33:48 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-101363</guid>
		<description>[...] Jak to widać na uroczym obrazku na stronie CouchDB, bebechy można podzielić na silnik &#8220;widoków&#8221;, storage i replikacje. Pisząc o widokach należy wspomnieć, że nasza znajomość SQL-92 i pochodnych nie zda się na nic. Nie ma klasycznych zapytań, zamiast tego stosowana jest metoda MapReduce. Funkcje map i reduce piszemy w JavaScripcie, ale tak naprawdę można dodać obsługę funkcji w dowolnym języku (o tym za chwilę). Na temat samego MapReduce można wiele napisać, dlatego nie będę w tej chwili rozwijał tego tematu. Zainteresowanych odsyłam do Wikipedii i, na przykład, tego wpisu. [...]</description>
		<content:encoded><![CDATA[<p>[...] Jak to widać na uroczym obrazku na stronie CouchDB, bebechy można podzielić na silnik &#8220;widoków&#8221;, storage i replikacje. Pisząc o widokach należy wspomnieć, że nasza znajomość SQL-92 i pochodnych nie zda się na nic. Nie ma klasycznych zapytań, zamiast tego stosowana jest metoda MapReduce. Funkcje map i reduce piszemy w JavaScripcie, ale tak naprawdę można dodać obsługę funkcji w dowolnym języku (o tym za chwilę). Na temat samego MapReduce można wiele napisać, dlatego nie będę w tej chwili rozwijał tego tematu. Zainteresowanych odsyłam do Wikipedii i, na przykład, tego wpisu. [...]</p>
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	</item>
	<item>
		<title>By: Infology.Ru &#187; Blog Archive &#187; Почему MapReduce так важен для хранилищ данных?</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-98538</link>
		<dc:creator>Infology.Ru &#187; Blog Archive &#187; Почему MapReduce так важен для хранилищ данных?</dc:creator>
		<pubDate>Sun, 05 Oct 2008 06:58:52 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-98538</guid>
		<description>[...] Автор: Curt Monash Дата публикации оригинала: 2008-08-26 Перевод: Олег Кузьменко Источник: Блог Курта Монаша [...]</description>
		<content:encoded><![CDATA[<p>[...] Автор: Curt Monash Дата публикации оригинала: 2008-08-26 Перевод: Олег Кузьменко Источник: Блог Курта Монаша [...]</p>
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	</item>
	<item>
		<title>By: Infology.Ru &#187; Blog Archive &#187; Три подхода к распараллеливанию процесса преобразования данных</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-98170</link>
		<dc:creator>Infology.Ru &#187; Blog Archive &#187; Три подхода к распараллеливанию процесса преобразования данных</dc:creator>
		<pubDate>Mon, 29 Sep 2008 21:23:08 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-98170</guid>
		<description>[...] подход является «Темой Недели»: MapReduce. Когда я опубликовал список канонических приложений [...]</description>
		<content:encoded><![CDATA[<p>[...] подход является «Темой Недели»: MapReduce. Когда я опубликовал список канонических приложений [...]</p>
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	</item>
	<item>
		<title>By: Blog user interfaces &#124; Text Technologies</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-97282</link>
		<dc:creator>Blog user interfaces &#124; Text Technologies</dc:creator>
		<pubDate>Thu, 11 Sep 2008 09:30:50 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-97282</guid>
		<description>[...] of the sidebars. And I link to other of my posts whenever it seems to make sense, as in my posts on MapReduce and database [...]</description>
		<content:encoded><![CDATA[<p>[...] of the sidebars. And I link to other of my posts whenever it seems to make sense, as in my posts on MapReduce and database [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Mike Stonebraker&#8217;s counterarguments to MapReduce&#8217;s popularity &#124; DBMS2 -- DataBase Management System Services</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-96786</link>
		<dc:creator>Mike Stonebraker&#8217;s counterarguments to MapReduce&#8217;s popularity &#124; DBMS2 -- DataBase Management System Services</dc:creator>
		<pubDate>Thu, 04 Sep 2008 23:39:49 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-96786</guid>
		<description>[...] line: Mike Stonebraker more than disagrees with the claim that MapReduce is a valuable addition to SQL data warehousing, on somewhat different grounds than he emphasized in the Great MapReduce Debate last January.   [...]</description>
		<content:encoded><![CDATA[<p>[...] line: Mike Stonebraker more than disagrees with the claim that MapReduce is a valuable addition to SQL data warehousing, on somewhat different grounds than he emphasized in the Great MapReduce Debate last January.   [...]</p>
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		<title>By: Yes, but what are the Very Biggest benefits of MapReduce? &#124; DBMS2 -- DataBase Management System Services</title>
		<link>http://www.dbms2.com/2008/08/26/why-mapreduce-matters-to-sql-data-warehousing/#comment-96361</link>
		<dc:creator>Yes, but what are the Very Biggest benefits of MapReduce? &#124; DBMS2 -- DataBase Management System Services</dc:creator>
		<pubDate>Mon, 01 Sep 2008 09:08:24 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=501#comment-96361</guid>
		<description>[...] benefits, features, etc. to various constituencies (business users, programmers, DBAs, etc.) of the Greenplum and Aster Data MapReduce announcements. Questions like that are hard to answer simply. Here&#8217;s [...]</description>
		<content:encoded><![CDATA[<p>[...] benefits, features, etc. to various constituencies (business users, programmers, DBAs, etc.) of the Greenplum and Aster Data MapReduce announcements. Questions like that are hard to answer simply. Here&#8217;s [...]</p>
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