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	<title>Thinknook &#187; SQL Development</title>
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	<description>Because the world needs another Business Intelligence blog!</description>
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		<title>In-Memory (Memory Optimized) Tables in SQL Server 2014</title>
		<link>http://thinknook.com/in-memory-memory-optimized-tables-and-oltp-with-sql-server-2014-2013-07-12/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=in-memory-memory-optimized-tables-and-oltp-with-sql-server-2014</link>
		<comments>http://thinknook.com/in-memory-memory-optimized-tables-and-oltp-with-sql-server-2014-2013-07-12/#comments</comments>
		<pubDate>Fri, 12 Jul 2013 01:32:29 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[SQL Development]]></category>
		<category><![CDATA[SQL Optimisation]]></category>
		<category><![CDATA[SQL Server DBA]]></category>
		<category><![CDATA[hekaton]]></category>
		<category><![CDATA[in-memory]]></category>
		<category><![CDATA[index]]></category>
		<category><![CDATA[memory tables]]></category>
		<category><![CDATA[memory-optimized]]></category>
		<category><![CDATA[sql 14]]></category>
		<category><![CDATA[sql 2014]]></category>
		<category><![CDATA[sql server]]></category>
		<category><![CDATA[statistics]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=1147</guid>
		<description><![CDATA[In-Memory storage technology finally make their debut appearance on the SQL Server 2014&#8217;s BI stack, with the creation of a proper memory optimized tables and stored procedures, unlike the Columnstore feature which offers a read-only memory optimized solution, that does not work overly well in a true transactional environment. In this post I hope to [&#8230;]]]></description>
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		<slash:comments>1</slash:comments>
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		<title>Connecting SQL Server and Analysis Services to Hadoop Hive</title>
		<link>http://thinknook.com/connecting-sql-server-and-analysis-services-to-hadoop-hive-2013-07-09/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=connecting-sql-server-and-analysis-services-to-hadoop-hive</link>
		<comments>http://thinknook.com/connecting-sql-server-and-analysis-services-to-hadoop-hive-2013-07-09/#comments</comments>
		<pubDate>Tue, 09 Jul 2013 20:50:53 +0000</pubDate>
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				<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[SQL Development]]></category>
		<category><![CDATA[SSAS]]></category>
		<category><![CDATA[cubes]]></category>
		<category><![CDATA[hadoop]]></category>
		<category><![CDATA[hive]]></category>
		<category><![CDATA[hiveql]]></category>
		<category><![CDATA[linked server]]></category>
		<category><![CDATA[odbc]]></category>
		<category><![CDATA[sql server]]></category>
		<category><![CDATA[ssas]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=1169</guid>
		<description><![CDATA[Hadoop is a pretty neat set of tools for processing loads of data in a distributed, parallel and easy to scale-out manner, and so rightfully the Hadoop toolset owns a pretty high position in the data analysis and BI game, and a must consider when embarking on any new big data project. But that being [&#8230;]]]></description>
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		<slash:comments>3</slash:comments>
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		<title>Rehashing SQL Server Hashing Algorithms for Large Text Fields</title>
		<link>http://thinknook.com/rehashing-sql-server-hashing-algorithms-for-large-text-fields-2013-03-23/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=rehashing-sql-server-hashing-algorithms-for-large-text-fields</link>
		<comments>http://thinknook.com/rehashing-sql-server-hashing-algorithms-for-large-text-fields-2013-03-23/#comments</comments>
		<pubDate>Sat, 23 Mar 2013 19:51:29 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[C#]]></category>
		<category><![CDATA[MS SQL Server]]></category>
		<category><![CDATA[SQL Development]]></category>
		<category><![CDATA[SQL Optimisation]]></category>
		<category><![CDATA[checksum]]></category>
		<category><![CDATA[fnv]]></category>
		<category><![CDATA[hash]]></category>
		<category><![CDATA[hash algorithms]]></category>
		<category><![CDATA[hashbytes]]></category>
		<category><![CDATA[md2]]></category>
		<category><![CDATA[md4]]></category>
		<category><![CDATA[md5]]></category>
		<category><![CDATA[sha1]]></category>
		<category><![CDATA[sha2]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[sql server]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=1048</guid>
		<description><![CDATA[Hashing can be a very useful technique when dealing with the storage and look up of large text fields (say a table of URLs or Search Keywords), these fields will incur high resource utilization on any database engine if used directly in DML statements, in which they are either filtered by or aggregated on. Any index built on these [&#8230;]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Querying the Full-Text Index in SQL Server</title>
		<link>http://thinknook.com/querying-the-full-text-index-in-sql-server-2012-12-05/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=querying-the-full-text-index-in-sql-server</link>
		<comments>http://thinknook.com/querying-the-full-text-index-in-sql-server-2012-12-05/#comments</comments>
		<pubDate>Wed, 05 Dec 2012 07:30:45 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[SQL Development]]></category>
		<category><![CDATA[SQL Server DBA]]></category>
		<category><![CDATA[contains]]></category>
		<category><![CDATA[containstable]]></category>
		<category><![CDATA[document search]]></category>
		<category><![CDATA[freetext]]></category>
		<category><![CDATA[freetexttable]]></category>
		<category><![CDATA[full-text]]></category>
		<category><![CDATA[full-text search]]></category>
		<category><![CDATA[sql server]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=865</guid>
		<description><![CDATA[SQL Server provides Full-Text search capabilities through it&#8217;s Full-Text Index, a mature document search tool with neat features like thesaurus and stop-word integration as well as some semantic search and keyword extraction features in SQL Server 2012. The Full-Text Index is used through 2 (scalar) functions CONTAINS and FREETEXT, and 2 (table-valued) functions CONTAINSTABLE and [&#8230;]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>SQL Server English Thesaurus for FULLTEXT Search</title>
		<link>http://thinknook.com/sql-server-english-thesaurus-for-fulltext-search-2012-02-07/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=sql-server-english-thesaurus-for-fulltext-search</link>
		<comments>http://thinknook.com/sql-server-english-thesaurus-for-fulltext-search-2012-02-07/#comments</comments>
		<pubDate>Tue, 07 Feb 2012 19:47:16 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[SQL Development]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=406</guid>
		<description><![CDATA[SQL Server offers Full Text Search capabilities integrated within it&#8217;s framework, Full-Text Search offers very fast search capabilities over large text columns, along with advance search features such as Stemming or Thesaurus, as well as Infection (tense) Searches and Proximity Search, to name a few. Out of the box, SQL Server&#8217;s FullText Search currently does [&#8230;]]]></description>
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		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>SQL Server Choosing Collation</title>
		<link>http://thinknook.com/sql-server-choosing-collation-2011-10-22/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=sql-server-choosing-collation</link>
		<comments>http://thinknook.com/sql-server-choosing-collation-2011-10-22/#comments</comments>
		<pubDate>Sat, 22 Oct 2011 14:20:59 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[SQL Development]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=156</guid>
		<description><![CDATA[your SQL Server Collation choice for your database (or server) will control how characters will be sorted and compared within the database or SQL Server in general. DBAs must choose a collation carefully that matches the type of characters encountered in a particular database. It is important to take into account as well how this [&#8230;]]]></description>
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		<slash:comments>0</slash:comments>
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