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	<title>Inside-BigData &#187; Video</title>
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	<link>http://inside-bigdata.com</link>
	<description>Discovering Gold with Big Data Analytics and Data-Intensive Computing</description>
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		<title>Slidecast: TwinStrata CloudArray &#8211; Disaster Recovery as a Service</title>
		<link>http://inside-bigdata.com/slidecast-twinstrata-cloudarray-4-5-with-draas/</link>
		<comments>http://inside-bigdata.com/slidecast-twinstrata-cloudarray-4-5-with-draas/#comments</comments>
		<pubDate>Tue, 21 May 2013 15:35:19 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Archival]]></category>
		<category><![CDATA[Cloud]]></category>
		<category><![CDATA[Podcasts]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3031</guid>
		<description><![CDATA[<p>In this slidecast, Nicos Vekiarides from TwinStrata presents: TwinStrata CloudArray 4.5 with DRaaS. The new offering is an on-demand disaster recovery as a service (DRaaS) for VMware users. Whether your goals are to increase storage capacity, improve off-site data protection, implement disaster recovery or all three of the above, TwinStrata CloudArray is the most comprehensive [...]</p><p>The post <a href="http://inside-bigdata.com/slidecast-twinstrata-cloudarray-4-5-with-draas/">Slidecast: TwinStrata CloudArray &#8211; Disaster Recovery as a Service</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/F65pkFUCdRg?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this slidecast, Nicos Vekiarides from <a href="http://twinstrata.com">TwinStrata</a> presents: TwinStrata CloudArray 4.5 with DRaaS. The new offering is an on-demand disaster recovery as a service (DRaaS) for VMware users.</p>
<blockquote><p>Whether your goals are to increase storage capacity, improve off-site data protection, implement disaster recovery or all three of the above, TwinStrata CloudArray is the most comprehensive storage solution available today,” said Nicos Vekiarides, CEO of TwinStrata. “TwinStrata has made great strides in delivering enterprise-class functionality at a fraction of the cost typically required of storage solutions. What’s exciting is CloudArray 4.5 enables organizations to enjoy a full business continuity plan without the need for backup software or a dedicated disaster site&#8211; a once unthinkable proposition.”</p></blockquote>
<p>Read the <a href="http://www.twinstrata.com/press-releases/2013/05/twinstrata-frees-customers-backup-software-and-disaster-recovery-headaches-br">Full Story</a> * <a href="http://www.slideshare.net/insideHPC/twin-strata-cloud-array-d-raas">View the slide</a>s *  * <a href="https://archive.org/download/TwinStrataCloudArrayPodcast/TwinStrata%20CloudArray%20Podcast.mp3">Download the MP3</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a> * <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a><br />
<a id="li_ui_li_gen_1368023624360_7-link"></a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/slidecast-twinstrata-cloudarray-4-5-with-draas/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/slidecast-twinstrata-cloudarray-4-5-with-draas/">Slidecast: TwinStrata CloudArray &#8211; Disaster Recovery as a Service</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		</item>
		<item>
		<title>Ken Cukier on the How Big Data will Change the World</title>
		<link>http://inside-bigdata.com/ken-cukier-on-the-how-big-data-will-change-the-world/</link>
		<comments>http://inside-bigdata.com/ken-cukier-on-the-how-big-data-will-change-the-world/#comments</comments>
		<pubDate>Sun, 19 May 2013 15:11:48 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3023</guid>
		<description><![CDATA[<p>In this video from The Next Web Conference Europe 2013, Ken Cukier, Data Editor at the Economist describes how Big Data hype should not deter us from bringing this phenomenon to its full potential to change the world. &#160;</p><p>The post <a href="http://inside-bigdata.com/ken-cukier-on-the-how-big-data-will-change-the-world/">Ken Cukier on the How Big Data will Change the World</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/R-bypPCIE9g?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from The Next Web Conference Europe 2013, <a href="http://www.amazon.com/gp/product/B009N08NKW/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&amp;camp=1789&amp;creative=9325&amp;creativeASIN=B009N08NKW&amp;linkCode=as2&amp;tag=thnewe07-20">Ken Cukier</a>, Data Editor at the Economist describes how Big Data hype should not deter us from bringing this phenomenon to its full potential to change the world.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/ken-cukier-on-the-how-big-data-will-change-the-world/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/ken-cukier-on-the-how-big-data-will-change-the-world/">Ken Cukier on the How Big Data will Change the World</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: EIOW Exascale I/O Working Group</title>
		<link>http://inside-bigdata.com/video-eiow-exascale-io-working-group/</link>
		<comments>http://inside-bigdata.com/video-eiow-exascale-io-working-group/#comments</comments>
		<pubDate>Sat, 18 May 2013 13:49:41 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Hardware]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Storage]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3021</guid>
		<description><![CDATA[<p>In this video from the Lustre User Group 2013, Meghan McClelland from Xyratex presents: EIOW &#8211; Exascale I/O Working Group. There is a fierce competition on the storage market to offer the best performing devices, with great management at a low price. The EIOW group, from the outset, decided that it would not attempt to [...]</p><p>The post <a href="http://inside-bigdata.com/video-eiow-exascale-io-working-group/">Video: EIOW Exascale I/O Working Group</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/CNqbW79KfV8?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://www.opensfs.org/resources/presentations/">Lustre User Group 2013</a>, Meghan McClelland from <a href="http://xyratex.com">Xyratex</a> presents: <em><a href="http://www.xyratex.com/news/blog/tag/eiow">EIOW</a> &#8211; Exascale I/O Working Group</em>.</p>
<blockquote><p>There is a fierce competition on the storage market to offer the best performing devices, with great management at a low price. The EIOW group, from the outset, decided that it would not attempt to offer an end-to-end solution, which would necessarily involve competing instead of working with storage providers. The focus of EIOW is on middleware to provide, for example, schemas describing data structure and layout, novel access methods to data for applications, a uniform data management infrastructure and a framework for the implementation of layered I/O software, similar in spirit to HDF5 as a specialized use of a parallel file system. We decided EIOW should be open, and have interfaces to layer on lower level storage infrastructure such as object stores, databases and file systems as provided by storage providers, to allow their expertise and leadership in this area to continue to benefit the HPC community.</p></blockquote>
<p>Download the <a href="http://www.xyratex.com/sites/default/files/file/field_white_paper_pdf/Exascale%20IO%20-%20EIOW%20-%20Peter%20Braam.pdf">EIOW whitepaper</a> and <a href="http://www.opensfs.org/wp-content/uploads/2013/04/Lug-2013-exascale10.pdf">slides</a>, or check out our <a href="http://insidehpc.com/lug-2013-video-gallery/">LUG 2013 Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-eiow-exascale-io-working-group/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-eiow-exascale-io-working-group/">Video: EIOW Exascale I/O Working Group</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Why the Size of the Data Does Not Define Big Data</title>
		<link>http://inside-bigdata.com/video-why-the-size-of-the-data-does-not-define-big-data/</link>
		<comments>http://inside-bigdata.com/video-why-the-size-of-the-data-does-not-define-big-data/#comments</comments>
		<pubDate>Fri, 17 May 2013 12:00:56 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3011</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, John Hengeveld from Intel presents: Big Data Use Cases &#8211; The Size of the Data does not define Big Data. Download the slides (PDF) or check out the HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-why-the-size-of-the-data-does-not-define-big-data/">Video: Why the Size of the Data Does Not Define Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/dXg8Oguwx2k?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com">2013 HPC User Forum</a>, John Hengeveld from Intel presents: <em>Big Data Use Cases &#8211; The Size of the Data does not define Big Data</em>.</p>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/IntelBigDataTalk.pdf">Download the slides (PDF)</a> or check out the <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-why-the-size-of-the-data-does-not-define-big-data/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-why-the-size-of-the-data-does-not-define-big-data/">Video: Why the Size of the Data Does Not Define Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Today&#8217;s I/O Challenges for Big Data Analysis</title>
		<link>http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/</link>
		<comments>http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/#comments</comments>
		<pubDate>Thu, 16 May 2013 12:00:49 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Archival]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[I/O]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3009</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, Henry Newman from Instrumental presents: Today&#8217;s I/O Challenges for Big Data Analysis. Those who own the archive own the big data solutions as you cannot move data around. Download the slides (PDF) or check out the HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/">Video: Today&#8217;s I/O Challenges for Big Data Analysis</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/3-47HxcHl5I?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com/download.html">2013 HPC User Forum</a>, Henry Newman from <a href="http://instrumental.com">Instrumental</a> presents: <em>Today&#8217;s I/O Challenges for Big Data Analysis</em>.</p>
<blockquote><p>Those who own the archive own the big data solutions as you cannot move data around.</p></blockquote>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/HenryNewman.pdf">Download the slides (PDF)</a> or check out the <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-todays-io-challenges-for-big-data-analysis/">Video: Today&#8217;s I/O Challenges for Big Data Analysis</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Video: High-Performance Data Analysis: HPC Meets Big Data</title>
		<link>http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/</link>
		<comments>http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/#comments</comments>
		<pubDate>Wed, 15 May 2013 12:00:16 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[High Performance Data Analysis]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=3003</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, Steve Conway and Chirag Dekate from IDC present: High-Performance Data Analysis: HPC Meets Big Data. Download the slides (PDF) or check out our HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/">Video: High-Performance Data Analysis: HPC Meets Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/C7TcBpzIm_I?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com">2013 HPC User Forum</a>, Steve Conway and Chirag Dekate from IDC present: <em>High-Performance Data Analysis: HPC Meets Big Data</em>.</p>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/IDCHPDABigDataHPC.pdf">Download the slides (PDF)</a> or check out our <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-high-performance-data-analysis-hpc-meets-big-data/">Video: High-Performance Data Analysis: HPC Meets Big Data</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Apixio &#8211; Knowledge-driven Outcomes for Healthcare</title>
		<link>http://inside-bigdata.com/apixio-knowledge-driven-outcomes-for-healthcare/</link>
		<comments>http://inside-bigdata.com/apixio-knowledge-driven-outcomes-for-healthcare/#comments</comments>
		<pubDate>Tue, 14 May 2013 12:00:31 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business of Big Data]]></category>
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		<guid isPermaLink="false">http://inside-bigdata.com/?p=2995</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, Darren Schulte from Apixio presents: Knowledge-driven Outcomes for Healthcare. Apixio delivers actionable insights from textual, scanned, and coded data for optimal risk management, population management, and revenue.&#8221; Download the slides (PDF) or check out the HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/apixio-knowledge-driven-outcomes-for-healthcare/">Apixio &#8211; Knowledge-driven Outcomes for Healthcare</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/UqPdNzoykN4?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com">2013 HPC User Forum</a>, Darren Schulte from <a href="http://www.apixio.com/">Apixio</a> presents: <em>Knowledge-driven Outcomes for Healthcare</em>.</p>
<blockquote><p>Apixio delivers actionable insights from textual, scanned, and coded data for optimal risk management, population management, and revenue.&#8221;</p></blockquote>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/ApixioIDC_043013.pdf">Download the slides (PDF)</a> or check out the <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/apixio-knowledge-driven-outcomes-for-healthcare/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/apixio-knowledge-driven-outcomes-for-healthcare/">Apixio &#8211; Knowledge-driven Outcomes for Healthcare</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Slidecast: ClusterStor 1500 Departmental Scale-Out Storage for HPC</title>
		<link>http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/</link>
		<comments>http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/#comments</comments>
		<pubDate>Tue, 14 May 2013 11:30:01 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[HPC]]></category>
		<category><![CDATA[Lustre]]></category>
		<category><![CDATA[Podcasts]]></category>
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		<guid isPermaLink="false">http://inside-bigdata.com/?p=2979</guid>
		<description><![CDATA[<p>In this slidecast, Ken Claffey from Xyratex describes the company&#8217;s new ClusterStor 1500 storage system. Designed for scale-out HPC storage solutions, the ClusterStor 1500 delivers HPC performance and efficiency with help from the Lustre file system. Departments within larger organizations or medium-sized enterprises today, especially in the commercial, academic and government sectors, represent an underserved [...]</p><p>The post <a href="http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/">Slidecast: ClusterStor 1500 Departmental Scale-Out Storage for HPC</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/Xdytmrisjo8?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this slidecast, Ken Claffey from <a href="http://xyratex.com">Xyratex</a> describes the company&#8217;s new <a href="http://www.xyratex.com/products/clusterstor-1500">ClusterStor 1500</a> storage system. Designed for scale-out HPC storage solutions, the ClusterStor 1500 delivers HPC performance and efficiency with help from the Lustre file system.</p>
<blockquote><p>Departments within larger organizations or medium-sized enterprises today, especially in the commercial, academic and government sectors, represent an underserved market. They need high-performance and scalable storage solutions that are cost-efficient, easy to deploy and manage and reliable even under heavy workloads,” said Ken Claffey, senior vice president of the ClusterStor business at Xyratex. “Growth in this market segment is being driven by the increasing adoption of simulation applications in a wide range of industries from car and aircraft design to chemical interactions and financial modeling. Traditional enterprise storage systems are simply not designed to meet the performance needs of these applications, so we engineered and built the affordable and modular ClusterStor 1500 to bring the performance power of Lustre to this underserved and growing market in the way that only ClusterStor can.”</p></blockquote>
<p>With the ability to scale performance from 1.25GB/s to 110GB/s and raw capacity from 42TB to 7.3PB, ClusterStor 1500 is purpose-built to satisfy data intensive department level compute cluster needs, ClusterStor 1500 is designed to provide best in class scale-out storage for middle tier high performance computing environments. The ClusterStor 1500 solution features scale-out storage building blocks, the Lustre parallel filesystem and a comprehensive management platform that eliminates the guesswork usually associated with building and optimizing your own HPC storage solution.</p>
<p><a href="http://www.xyratex.com/news/press-releases/xyratex-introduces-clusterstor%E2%84%A2-1500-bringing-leading-edge-scale-out-storage">Read the Full Story</a> * <a href="http://www.slideshare.net/insideHPC/cluster-stor-1500">View the slides</a> * <a href="https://archive.org/download/ClusterStor1500/clusterStorHI.mp3">Download the MP3</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a> * <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/">Slidecast: ClusterStor 1500 Departmental Scale-Out Storage for HPC</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Video: The Big Data Paradigm Shift &#8211; Insight Through Automation</title>
		<link>http://inside-bigdata.com/video-the-big-data-paradigm-shift-insight-through-automation/</link>
		<comments>http://inside-bigdata.com/video-the-big-data-paradigm-shift-insight-through-automation/#comments</comments>
		<pubDate>Mon, 13 May 2013 12:00:40 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Startups]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2987</guid>
		<description><![CDATA[<p>In this video from the 2013 HPC User Forum, Radhika Subramanian from Emcien presents: The Big Data Paradigm Shift &#8211; Insight Through Automation. Download the slides (PDF) or check out the HPC User Forum Video Gallery. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-the-big-data-paradigm-shift-insight-through-automation/">Video: The Big Data Paradigm Shift &#8211; Insight Through Automation</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="510" height="287" src="http://www.youtube.com/embed/TBKL1dWydXg?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this video from the <a href="http://hpcuserforum.com">2013 HPC User Forum</a>, Radhika Subramanian from Emcien presents: <em>The Big Data Paradigm Shift &#8211; Insight Through Automation</em>.</p>
<p><a href="http://www.hpcuserforum.com/presentations/tuscon2013/EmcienIntroduction.pdf">Download the slides (PDF)</a> or check out the <a href="http://insidehpc.com/2013-hpc-user-forum-video-gallery/">HPC User Forum Video Gallery</a>.</p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/video-the-big-data-paradigm-shift-insight-through-automation/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/video-the-big-data-paradigm-shift-insight-through-automation/">Video: The Big Data Paradigm Shift &#8211; Insight Through Automation</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<title>Slidecast: Technical Overview of Cloudera Impala</title>
		<link>http://inside-bigdata.com/slidecast-technical-overview-of-cloudera-impala/</link>
		<comments>http://inside-bigdata.com/slidecast-technical-overview-of-cloudera-impala/#comments</comments>
		<pubDate>Sun, 12 May 2013 12:00:09 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[Impala]]></category>
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		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2977</guid>
		<description><![CDATA[<p>In this slidecast, Justin Erickson from Cloudera presents a technical overview of Cloudera Impala, an SQL-on-Hadoop solution that enables users to do real-time queries of data stored in Hadoop clusters. To avoid latency, Impala circumvents MapReduce to directly access the data through a specialized distributed query engine that is very similar to those found in [...]</p><p>The post <a href="http://inside-bigdata.com/slidecast-technical-overview-of-cloudera-impala/">Slidecast: Technical Overview of Cloudera Impala</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><iframe width="511" height="383" src="http://www.youtube.com/embed/mpA5HKvxhuU?rel=0" frameborder="0" allowfullscreen></iframe></p>
<p>In this slidecast, Justin Erickson from <a href="http://Cloudera.com">Cloudera</a> presents a technical overview of <a href="http://www.cloudera.com/content/cloudera/en/products/cdh/impala.html">Cloudera Impala</a>, an SQL-on-Hadoop solution that enables users to do real-time queries of data stored in Hadoop clusters.</p>
<blockquote><p>To avoid latency, Impala circumvents MapReduce to directly access the data through a specialized distributed query engine that is very similar to those found in commercial parallel RDBMSs. The result is order-of-magnitude faster performance than Hive, depending on the type of query and configuration.</p></blockquote>
<p>Read the <a href="http://www.cloudera.com/content/cloudera/en/about/press-center/press-releases/release.html?ReleaseID=1812977">Full Story</a> * <a href="http://archive.org/download/ClouderaImpalaPodcast/Cloudera%20Impala%20Podcast.mp3">Download the MP3</a> * <a href="http://www.slideshare.net/insideHPC/impala-overview">View the slides</a> * <a href="http://phobos.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=275928198">Subscribe on iTunes</a>* <a href="http://feeds.feedburner.com/SunRadioHpcPodcast">Subscribe to RSS</a></p>
<br /><div class="linkedInShareButton"><script type="text/javascript" src="http://platform.linkedin.com/in.js"></script><script type="in/share" data-url="http://inside-bigdata.com/slidecast-technical-overview-of-cloudera-impala/"></script></div><div class="ad" style="padding-top: 10px; border-top: 1px dotted gray; padding-bottom: 5px; font-size: .95em;">&nbsp;</div><p>The post <a href="http://inside-bigdata.com/slidecast-technical-overview-of-cloudera-impala/">Slidecast: Technical Overview of Cloudera Impala</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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