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	<title>Thinknook &#187; sql</title>
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	<description>Because the world needs another Business Intelligence blog!</description>
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		<title>SQL Server 2014 CTP is Out!</title>
		<link>http://thinknook.com/sql-server-2014-ctp-is-out-2013-06-25/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=sql-server-2014-ctp-is-out</link>
		<comments>http://thinknook.com/sql-server-2014-ctp-is-out-2013-06-25/#comments</comments>
		<pubDate>Tue, 25 Jun 2013 08:40:16 +0000</pubDate>
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				<category><![CDATA[MS SQL Server]]></category>
		<category><![CDATA[cloudos]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[sql 2014]]></category>
		<category><![CDATA[sql server]]></category>
		<category><![CDATA[sql server 2014]]></category>
		<category><![CDATA[sql14]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=1135</guid>
		<description><![CDATA[Its a RDBMs, no its a ColumnStore, no its a cloud integrated storage platform&#8230; Oh its actually SQL Server 2014! Exciting news as the new (project code-name: Hekaton) SQL Server 2014 is community technology preview (CTP1) is out and can be downloaded and evaluated by the community. There is a host of exciting and long awaited [&#8230;]]]></description>
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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>
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				<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>
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		<category><![CDATA[sql]]></category>
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		<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>Architectures for Running SQL Server Analysis Service (SSAS) on Data in Hadoop Hive</title>
		<link>http://thinknook.com/architectures-for-running-sql-server-analysis-service-ssas-on-data-in-hadoop-hive-2013-02-25/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=architectures-for-running-sql-server-analysis-service-ssas-on-data-in-hadoop-hive</link>
		<comments>http://thinknook.com/architectures-for-running-sql-server-analysis-service-ssas-on-data-in-hadoop-hive-2013-02-25/#comments</comments>
		<pubDate>Mon, 25 Feb 2013 00:29:04 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[SSAS]]></category>
		<category><![CDATA[analysis service]]></category>
		<category><![CDATA[hadoop]]></category>
		<category><![CDATA[HDInsight]]></category>
		<category><![CDATA[hive]]></category>
		<category><![CDATA[hortonworks]]></category>
		<category><![CDATA[impala]]></category>
		<category><![CDATA[odbc]]></category>
		<category><![CDATA[real-time]]></category>
		<category><![CDATA[shark]]></category>
		<category><![CDATA[spark]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[sql server]]></category>
		<category><![CDATA[ssas]]></category>
		<category><![CDATA[stinger]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=999</guid>
		<description><![CDATA[Recently I have been involved in researching and building a low-latency high-data-volume OLAP environment for a social entity and interaction analysis platform, the perfect mixture of concepts such as Big Data collection and processing,  large-scale Network Analysis, Natural Language Processing (NLP) and a highly scaled-out OLAP environment for end users to explore and discover data [&#8230;]]]></description>
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		<slash:comments>6</slash:comments>
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		<title>Job Agent Execution (Run) Timeline Report Graph in SSRS</title>
		<link>http://thinknook.com/job-agent-execution-run-timeline-report-graph-in-ssrs-2012-11-10/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=job-agent-execution-run-timeline-report-graph-in-ssrs</link>
		<comments>http://thinknook.com/job-agent-execution-run-timeline-report-graph-in-ssrs-2012-11-10/#comments</comments>
		<pubDate>Sat, 10 Nov 2012 13:46:47 +0000</pubDate>
		<dc:creator><![CDATA[Links Naji]]></dc:creator>
				<category><![CDATA[MS SQL Server]]></category>
		<category><![CDATA[SQL Server DBA]]></category>
		<category><![CDATA[SSRS]]></category>
		<category><![CDATA[job agent]]></category>
		<category><![CDATA[job agent schedule]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[sql agent]]></category>
		<category><![CDATA[sql maintenance]]></category>
		<category><![CDATA[ssrs]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=820</guid>
		<description><![CDATA[Being able to holistically view your SQL Server Job Agent job schedules, how long each job took to run, what other jobs were running at the same time and the status of each job, should be a fundamental part of Job Agent management. In this post I will be briefly introducing the current SSRS reports integrated into [&#8230;]]]></description>
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		<slash:comments>5</slash:comments>
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