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 Tune in. <br /><br />More info here:
<p><a shape="rect" href="http://blogs.technet.com/dataplatforminsider/archive/2009/08/24/microsoft-ships-the-first-technology-preview-for-project-code-named-madison.aspx" shape="rect">http://blogs.technet.com/dataplatforminsider/archive/2009/08/24/microsoft-ships-the-first-technology-preview-for-project-code-named-madison.aspx</a>
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      <itunes:summary>The SQL Server team is working on a new project code-named “Madison”. &amp;quot;Madison&amp;quot; is a highly scalable data warehouse appliance that delivers
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 Tune in. More info here:
http://blogs.technet.com/dataplatforminsider/archive/2009/08/24/microsoft-ships-the-first-technology-preview-for-project-code-named-madison.aspx
 
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      <title>Demo SQL Server Star Join Query to Excel Pivot Table</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key data warehousing features and functions of SQL Server.&nbsp;
<p>&nbsp;</p>
<p>In this screencast, Eric uses a typical DW query along with Microsoft Excel to create reports.
</p>
<p>&nbsp;</p>
<p>If you're having difficulty reading the scripts, please select a higher-res format for viewing.
</p>
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      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-Star-Join-Query-to-Excel-Pivot-Table</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key data warehousing features and functions of SQL Server.&amp;nbsp;
&amp;nbsp; 
In this screencast, Eric uses a typical DW query along with Microsoft Excel to create reports.
 
&amp;nbsp; 
If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
 
</itunes:summary>
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      <title>Demo SQL Server Manual Query Rewrites vs. Indexed View Matching</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&nbsp;
<p>&nbsp;</p>
<p>When should you manually rewrite queries to capitalize on aggregates rather than rely on SQL Server's Query Optimizer, to generate more efficient query plans? This screencast provides tips on how to experiment with both methods for best results.
</p>
<p>&nbsp;</p>
<p>If you're having difficulty reading the scripts, please select a higher-res format for viewing.
</p>
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:8e4d0419baea4fa8aa549deb00dd6655">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-Manual-Query-Rewrites-vs-Indexed-View-Matching</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&amp;nbsp;
&amp;nbsp; 
When should you manually rewrite queries to capitalize on aggregates rather than rely on SQL Server&#39;s Query Optimizer, to generate more efficient query plans? This screencast provides tips on how to experiment with both methods for best results.
 
&amp;nbsp; 
If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
 
</itunes:summary>
      <itunes:duration>165</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-Manual-Query-Rewrites-vs-Indexed-View-Matching</link>
      <pubDate>Wed, 01 Jul 2009 23:11:00 GMT</pubDate>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
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      <title>Demo SQL Server Aggregate Query Rewrites with Indexed Views</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&nbsp;<br>
<p>&nbsp;</p>
<p>This technique helps you to accelerate query performance for SQL Server 2000, 2005 and 2008, by taking advantage of indexed views.
</p>
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:46f32296e8104c9593299deb00dd6978">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-Aggregate-Query-Rewrites-with-Indexed-Views</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&amp;nbsp;
&amp;nbsp; 
This technique helps you to accelerate query performance for SQL Server 2000, 2005 and 2008, by taking advantage of indexed views.
 

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
</itunes:summary>
      <itunes:duration>337</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-Aggregate-Query-Rewrites-with-Indexed-Views</link>
      <pubDate>Wed, 01 Jul 2009 23:10:00 GMT</pubDate>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
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  <item>
      <title>Demo SQL Server 2008 Partition-aligned Indexed Views</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&nbsp;<br>
<br>
<p>Speed up query performance on very large fact tables. Partitioning and indexing now complement each other.
</p>
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.&nbsp;
<p>&nbsp;</p>
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:207863524fad45a2b6509deb00dd6cb1">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Partition-aligned-Indexed-Views</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&amp;nbsp;

Speed up query performance on very large fact tables. Partitioning and indexing now complement each other.
 

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.&amp;nbsp;
&amp;nbsp; 
</itunes:summary>
      <itunes:duration>518</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Partition-aligned-Indexed-Views</link>
      <pubDate>Wed, 01 Jul 2009 23:10:00 GMT</pubDate>
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      <itunes:author>Joe Longtin</itunes:author>
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  <item>
      <title>Demo SQL Server 2008 Grouping Sets</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&nbsp;<br>
<br>
<p>Simplify queries that require grouping or aggregation. Using Grouping Sets reduces repetitive scans of the same data and improves performance.
</p>
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:def3bc548bbb49cdb9fa9deb00dd7041">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Grouping-Sets</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&amp;nbsp;

Simplify queries that require grouping or aggregation. Using Grouping Sets reduces repetitive scans of the same data and improves performance.
 

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
</itunes:summary>
      <itunes:duration>325</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Grouping-Sets</link>
      <pubDate>Tue, 30 Jun 2009 23:33:00 GMT</pubDate>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
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      <wfw:commentRss>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Grouping-Sets/RSS</wfw:commentRss>
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  <item>
      <title>Demo SQL Server 2000/2005 Few Outer Rows Workaround</title>
      <description><![CDATA[
<p>What can I do if I am using SQL Server 2000 or 2005, and I want to do a more efficient join between a date dimension and a large fact table?<br>
<br>
Eric Hanson, principal program manager for SQL Server data warehousing, walks through creation of a workaround.
</p>
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:23ce50f6483d49869e7b9deb00dd739e">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-20002005-Few-Outer-Rows-Workaround</comments>
      <itunes:summary>
What can I do if I am using SQL Server 2000 or 2005, and I want to do a more efficient join between a date dimension and a large fact table?

Eric Hanson, principal program manager for SQL Server data warehousing, walks through creation of a workaround.
 

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
</itunes:summary>
      <itunes:duration>282</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-20002005-Few-Outer-Rows-Workaround</link>
      <pubDate>Tue, 30 Jun 2009 23:32:00 GMT</pubDate>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
      <slash:comments>0</slash:comments>
      <wfw:commentRss>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-20002005-Few-Outer-Rows-Workaround/RSS</wfw:commentRss>
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      <title>Demo SQL Server 2008 Few Outer Row Joins</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&nbsp;<br>
<br>
<p>Automatically leverage parallel processing when joining dimensions to the fact table.&nbsp; Each outer row gets a separate thread on a nested loop join and all available cores share the workload.
</p>
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:3faf9173144a407984c99deb00dd76ea">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Few-Outer-Row-Joins</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&amp;nbsp;

Automatically leverage parallel processing when joining dimensions to the fact table.&amp;nbsp; Each outer row gets a separate thread on a nested loop join and all available cores share the workload.
 

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
</itunes:summary>
      <itunes:duration>223</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Few-Outer-Row-Joins</link>
      <pubDate>Tue, 30 Jun 2009 21:35:00 GMT</pubDate>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
      <slash:comments>0</slash:comments>
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      <title>Demo SQL Server 2008 Partitioned Table Parallelism</title>
      <description><![CDATA[
<p>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.
</p>
<p>&nbsp; </p>
<p>Make the most of your available hardware resources through intelligent parallel processing against partitioned tables.&nbsp;SQL Server&nbsp;automatically assigns queries to all available threads. All cores share the workload equally&nbsp;to scan qualifying partitions,
 process and deliver results.</p>
<p>If you're having difficulty reading the scripts, please select a higher-res format for viewing.</p>
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:3d63cc288d3e43c293489deb00dd7a94">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Partitioned-Table-Parallelism</comments>
      <itunes:summary>
Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.
 
&amp;nbsp;  
Make the most of your available hardware resources through intelligent parallel processing against partitioned tables.&amp;nbsp;SQL Server&amp;nbsp;automatically assigns queries to all available threads. All cores share the workload equally&amp;nbsp;to scan qualifying partitions,
 process and deliver results. 
If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing. 
</itunes:summary>
      <itunes:duration>343</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Partitioned-Table-Parallelism</link>
      <pubDate>Tue, 30 Jun 2009 21:18:00 GMT</pubDate>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
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      <title>Demo SQL Server 2008 Star Join Query Optimization</title>
      <description><![CDATA[
<p>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.
</p>
<p>Get more performance out of your star schema data model. Automatic star join query optimization dramatically improves performance by efficiently filtering out non-qualifying fact table rows early in the query plan.<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.</p>
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      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Star-Join-Query-Optimization</comments>
      <itunes:summary>
Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.
 
Get more performance out of your star schema data model. Automatic star join query optimization dramatically improves performance by efficiently filtering out non-qualifying fact table rows early in the query plan.
If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing. 
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
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      <title>Demo SQL Server 2008 Change Data Capture</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&nbsp;Use Change Data Capture to easily capture changes from your source database and accelerate ETL to the data
 warehouse. <br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:f0212943cc9a4df4bf159deb00dd821a">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-SQL-Server-2008-Change-Data-Capture</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&amp;nbsp;Use Change Data Capture to easily capture changes from your source database and accelerate ETL to the data
 warehouse. 
If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
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      <itunes:duration>452</itunes:duration>
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      <pubDate>Tue, 30 Jun 2009 00:30:00 GMT</pubDate>
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      <itunes:author>Joe Longtin</itunes:author>
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      <title>Demo SQL Server 2008 Enterprise Backup Compression</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008. Video&nbsp;4 is on accelerating backups with easy Backup Compression.
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:cd9c67ca72cc444796089deb00dd852b">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-of-SQL-Server-2008-Enterprise-Backup-Compression</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008. Video&amp;nbsp;4 is on accelerating backups with easy Backup Compression.

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
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      <pubDate>Mon, 29 Jun 2009 23:54:00 GMT</pubDate>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
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      <title>Demo SQL Server 2008 Data Compression</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&nbsp;Watch video 3 to learn how data compression can easily save disk space and improve query performance.
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:5f2b44820d4f4321b8dd9deb00dd8835">]]></description>
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      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008.&amp;nbsp;Watch video 3 to learn how data compression can easily save disk space and improve query performance.

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
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      <itunes:duration>411</itunes:duration>
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      <dc:creator>Joe Longtin</dc:creator>
      <itunes:author>Joe Longtin</itunes:author>
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      <title>Demo SQL Server 2008 DW: Configuring tempdb for Data Warehouse</title>
      <description><![CDATA[Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008. Video&nbsp;2 is on configuring TempDB for data warehousing.
<br>
If you're having difficulty reading the scripts, please select a higher-res format for viewing.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:605d17d417bc4b24abd09deb00dd8b3c">]]></description>
      <comments>http://channel9.msdn.com/Blogs/Joe+Longtin/Demo-of-SQL-Server-2008-DW-features-Configuring-tempdb-for-Data-Warehouse</comments>
      <itunes:summary>Eric Hanson, principal program manager for SQL Server data warehousing, walks through several of the key features and functions of SQL Server 2008. Video&amp;nbsp;2 is on configuring TempDB for data warehousing.

If you&#39;re having difficulty reading the scripts, please select a higher-res format for viewing.
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      <itunes:duration>305</itunes:duration>
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      <title>Data Warehousing - Torsten Grabs</title>
      <description><![CDATA[<span id="UniqueID1221587907455">Torsten Grabs gibt einen Überblick über seine Arbeit an Microsoft SQL Server 2008 als Lead Program Manager. Er erläutert seinen Beitrag zu „Data Warehousing“ und beschreibt anhand eines Beispiels an der Tafel „Query Optimization“
 und deren Vorteile für die Kunden.</span>  <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:2f860c4a95f74dba8c429deb000a2653">]]></description>
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      <itunes:summary>Torsten Grabs gibt einen &#220;berblick &#252;ber seine Arbeit an Microsoft SQL Server 2008 als Lead Program Manager. Er erl&#228;utert seinen Beitrag zu „Data Warehousing“ und beschreibt anhand eines Beispiels an der Tafel „Query Optimization“
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      <pubDate>Thu, 25 Sep 2008 17:23:00 GMT</pubDate>
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      <title>Motorenentwicklung - Peter Zabback</title>
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 ständig zunimmt. Er gibt ausserdem einen kurzen Abhang über neue SQl Server 2008 Lösungen zum Regressionsproblem beim Upgrade.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:b33ce630df3242a8a8269deb000a29bd">]]></description>
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      <itunes:summary>Peter Zabback spricht &#252;ber seine Arbeit als Entwickler und die wichtigsten Features an denen er mitgewirkt hat, wie zum Beispiel „Query Optimizer“. Er beschreibt die Herausforderungen in der Entwicklung und die Tatsache dass die Komplexit&#228;t seiner Arbeit
 st&#228;ndig zunimmt. Er gibt ausserdem einen kurzen Abhang &#252;ber neue SQl Server 2008 L&#246;sungen zum Regressionsproblem beim Upgrade.
</itunes:summary>
      <itunes:duration>232</itunes:duration>
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      <pubDate>Thu, 25 Sep 2008 17:22:00 GMT</pubDate>
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      <title>Engine Optimierungen - Cesar Galindo-Legaria</title>
      <description><![CDATA[Cesar Galindo-Legaria arbeitete an Erstellungs- und Nutzungsvorgängen von Partitionstabellen und räumlichen Abfragetabellen. Seine drei Hauptaufgaben waren spezielle Verarbeitungen, parallele Partitionstabellen und Tabellenausführungen, u. a. von geographischen
 und räumlichen Tabellentypen. <br>
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      <itunes:summary>Cesar Galindo-Legaria arbeitete an Erstellungs- und Nutzungsvorg&#228;ngen von Partitionstabellen und r&#228;umlichen Abfragetabellen. Seine drei Hauptaufgaben waren spezielle Verarbeitungen, parallele Partitionstabellen und Tabellenausf&#252;hrungen, u. a. von geographischen
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</itunes:summary>
      <itunes:duration>921</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/ZachSkylesOwens/03GermanCesarGalindoLegaria</link>
      <pubDate>Thu, 25 Sep 2008 16:55:00 GMT</pubDate>
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      <title>Motor optimizaciones - Cesar Galindo-Legaria</title>
      <description><![CDATA[Trabajó en la operación de creación y explotación de tablas de partición&nbsp; y consulta espacial. Tres objetivos principales:&nbsp; procesamiento especial, tablas de partición paralelas y ejecución de tablas, y tipos de tablas geográficas y espaciales.
<br>
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      <itunes:summary>Trabaj&#243; en la operaci&#243;n de creaci&#243;n y explotaci&#243;n de tablas de partici&#243;n&amp;nbsp; y consulta espacial. Tres objetivos principales:&amp;nbsp; procesamiento especial, tablas de partici&#243;n paralelas y ejecuci&#243;n de tablas, y tipos de tablas geogr&#225;ficas y espaciales.

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      <pubDate>Thu, 25 Sep 2008 13:51:00 GMT</pubDate>
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  <item>
      <title>Двигатель Оптимизация - Сезар Галиндо-Легария</title>
      <description><![CDATA[Работал над опти&#1084;изацией процессов создания и при&#1084;енения таблиц секций и таблиц пространственных запросов. Три главных направления деятельности:&nbsp; особая обработка, параллельные таблицы секций и выполнение таблиц, географические и пространственные типы
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 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:fa665882ca8c4e229cfb9deb0009a1a7">]]></description>
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      <itunes:summary>Работал над опти&amp;#1084;изацией процессов создания и при&amp;#1084;енения таблиц секций и таблиц пространственных запросов. Три главных направления деятельности:&amp;nbsp; особая обработка, параллельные таблицы секций и выполнение таблиц, географические и пространственные типы
 таблиц. 
</itunes:summary>
      <itunes:duration>921</itunes:duration>
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      <pubDate>Thu, 25 Sep 2008 13:01:00 GMT</pubDate>
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      <dc:creator>Zach Skyles Owens</dc:creator>
      <itunes:author>Zach Skyles Owens</itunes:author>
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      <category>Application Development</category>
      <category>Data Warehousing</category>
      <category>ru-RU</category>
      <category>SQL Behind the Scenes – Russian</category>
      <category>SQL Server 2008</category>
    </item>
  <item>
      <title>MERGE Operator with Bruno Denuit</title>
      <description><![CDATA[Bruno talks about his work on the Engine team, developing the syntax for the new MERGE operator, which according to data warehousing metrics is much faster than in previous versions of SQL Server. He also talks about his background in client-side languages
 and how that helped him become part of the Engine team. (Discussion includes a whiteboard demonstration of MERGE.) Bruno then tells us about the biggest challenges that he faced on this project.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:0fa12459cbd44a8692b99deb000ab399">]]></description>
      <comments>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Bruno-Denoit</comments>
      <itunes:summary>Bruno talks about his work on the Engine team, developing the syntax for the new MERGE operator, which according to data warehousing metrics is much faster than in previous versions of SQL Server. He also talks about his background in client-side languages
 and how that helped him become part of the Engine team. (Discussion includes a whiteboard demonstration of MERGE.) Bruno then tells us about the biggest challenges that he faced on this project.
</itunes:summary>
      <itunes:duration>1183</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Bruno-Denoit</link>
      <pubDate>Tue, 16 Sep 2008 00:00:00 GMT</pubDate>
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      <dc:creator>Zach Skyles Owens</dc:creator>
      <itunes:author>Zach Skyles Owens</itunes:author>
      <slash:comments>0</slash:comments>
      <wfw:commentRss>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Bruno-Denoit/RSS</wfw:commentRss>
      <category>Application Development</category>
      <category>Data Warehousing</category>
      <category>SQL Behind the Scenes – English</category>
      <category>SQL Server 2008</category>
    </item>
  <item>
      <title>Data Warehousing Improvements with Eric Hanson</title>
      <description><![CDATA[Eric Hanson is a Lead Program Manager for CORE RDBMS processing.&nbsp;He coordinated and worked on data warehouse scalability related improvements and details the benefits of these for customers. He also talks about some other new features in SQL Server 2008.
<p><span id="UniqueID1221246585661"></span></p>
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:b198124802e2447c955d9deb000a4ab5">]]></description>
      <comments>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Eric-Hanson</comments>
      <itunes:summary>Eric Hanson is a Lead Program Manager for CORE RDBMS processing.&amp;nbsp;He coordinated and worked on data warehouse scalability related improvements and details the benefits of these for customers. He also talks about some other new features in SQL Server 2008.
 
</itunes:summary>
      <itunes:duration>748</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Eric-Hanson</link>
      <pubDate>Sat, 13 Sep 2008 00:20:00 GMT</pubDate>
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      <dc:creator>Zach Skyles Owens</dc:creator>
      <itunes:author>Zach Skyles Owens</itunes:author>
      <slash:comments>1</slash:comments>
      <wfw:commentRss>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Eric-Hanson/RSS</wfw:commentRss>
      <category>Data Warehousing</category>
      <category>SQL Behind the Scenes – English</category>
      <category>SQL Server 2008</category>
    </item>
  <item>
      <title>Engine Optimizations with Cesar Galindo-Legaria</title>
      <description><![CDATA[As a Developer Lead on the Engine team Cesar worked on a number of new optimizations for SQL Server 2008.&nbsp; The three biggest features were indexing for spatial and geographical data types, parallel execution for partitioned tables, and enhancements for
 star join processing.  <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:e04b9d92313145fbb4529deb000a512a">]]></description>
      <comments>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Cesar-Galindo-Legaria</comments>
      <itunes:summary>As a Developer Lead on the Engine team Cesar worked on a number of new optimizations for SQL Server 2008.&amp;nbsp; The three biggest features were indexing for spatial and geographical data types, parallel execution for partitioned tables, and enhancements for
 star join processing. </itunes:summary>
      <itunes:duration>922</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Cesar-Galindo-Legaria</link>
      <pubDate>Sat, 13 Sep 2008 00:01:00 GMT</pubDate>
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      <dc:creator>Zach Skyles Owens</dc:creator>
      <itunes:author>Zach Skyles Owens</itunes:author>
      <slash:comments>0</slash:comments>
      <wfw:commentRss>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Cesar-Galindo-Legaria/RSS</wfw:commentRss>
      <category>Application Development</category>
      <category>Data Warehousing</category>
      <category>SQL Behind the Scenes – English</category>
      <category>SQL Server 2008</category>
    </item>
  <item>
      <title>Data Warehousing with Torsten Grabs</title>
      <description><![CDATA[Torsten Grabs is a Lead Program Manager on the SQL Server Engine Team.&nbsp;He discusses his work as a Lead Program Manager on Microsoft SQL Server 2008. He explains his contribution to Data Warehousing in SQL 2008, and its benefits to the customers. (Includes
 a white board example.) He also talks about his normal daily schedule.  <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:f74ec1d11ed54902a8bc9deb000a5e1e">]]></description>
      <comments>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Torsten-Grabs</comments>
      <itunes:summary>Torsten Grabs is a Lead Program Manager on the SQL Server Engine Team.&amp;nbsp;He discusses his work as a Lead Program Manager on Microsoft SQL Server 2008. He explains his contribution to Data Warehousing in SQL 2008, and its benefits to the customers. (Includes
 a white board example.) He also talks about his normal daily schedule. </itunes:summary>
      <itunes:duration>777</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Torsten-Grabs</link>
      <pubDate>Fri, 12 Sep 2008 20:53:00 GMT</pubDate>
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      <dc:creator>Zach Skyles Owens</dc:creator>
      <itunes:author>Zach Skyles Owens</itunes:author>
      <slash:comments>0</slash:comments>
      <wfw:commentRss>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Torsten-Grabs/RSS</wfw:commentRss>
      <category>Data Warehousing</category>
      <category>SQL Behind the Scenes – English</category>
      <category>SQL Server 2008</category>
    </item>
  <item>
      <title>Scenario Testing with Alejandro Hernandez-Saenz</title>
      <description><![CDATA[Alejandro worked primarily on scenario testing. His biggest challenges were the data warehousing scenarios.
 <img src="http://m.webtrends.com/dcs1wotjh10000w0irc493s0e_6x1g/njs.gif?dcssip=channel9.msdn.com&dcsuri=http://channel9.msdn.com/Tags/data+warehousing/RSS&WT.dl=0&WT.entryid=Entry:RSSView:9f3fb121159240cab7ee9deb000a6894">]]></description>
      <comments>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Alejandro-Hernandez-Saenz</comments>
      <itunes:summary>Alejandro worked primarily on scenario testing. His biggest challenges were the data warehousing scenarios.
</itunes:summary>
      <itunes:duration>285</itunes:duration>
      <link>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Alejandro-Hernandez-Saenz</link>
      <pubDate>Fri, 12 Sep 2008 20:51:00 GMT</pubDate>
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      <title>Query Optimization Testing with Leo Giakoumakis </title>
      <description><![CDATA[Leo Giakoumakis is a Test Lead in the SQL Server team.&nbsp; His team is responsible for the quality of query optimization, making sure that queries used in the new features are optimized properly and also that existing customers don’t see regression from their
 level of performance when upgrading to the new version.&nbsp;He also discusses some specific features.
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      <comments>http://channel9.msdn.com/Blogs/ZachSkylesOwens/Behind-the-Scenes-with-Leo-Giakoumakis</comments>
      <itunes:summary>Leo Giakoumakis is a Test Lead in the SQL Server team.&amp;nbsp; His team is responsible for the quality of query optimization, making sure that queries used in the new features are optimized properly and also that existing customers don’t see regression from their
 level of performance when upgrading to the new version.&amp;nbsp;He also discusses some specific features.
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      <pubDate>Fri, 12 Sep 2008 20:38:00 GMT</pubDate>
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