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	<title>Inside-BigData &#187; Cassandra</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>Cassandra: A Foundation for Real-time Big Data Applications at Reltio</title>
		<link>http://inside-bigdata.com/cassandra-a-foundation-for-real-time-big-data-applications-at-reltio/</link>
		<comments>http://inside-bigdata.com/cassandra-a-foundation-for-real-time-big-data-applications-at-reltio/#comments</comments>
		<pubDate>Tue, 23 Oct 2012 15:42:09 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Cassandra]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2021</guid>
		<description><![CDATA[<p>http://www.youtube.com/watch?v=Q_tn76HqSEw In this video, Manish Sood from Reltio presents: Cassandra: A Foundation for Real-time Big Data Applications at Reltio. Reltio provides the world’s largest enterprise customers with real-time Big Data Applications that help business users understand markets, drive revenue and reduce risk through actionable, real-time and predictive insights integrated into applications and dashboards. These applications require [...]</p><p>The post <a href="http://inside-bigdata.com/cassandra-a-foundation-for-real-time-big-data-applications-at-reltio/">Cassandra: A Foundation for Real-time Big Data Applications at Reltio</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.youtube.com/watch?v=Q_tn76HqSEw">http://www.youtube.com/watch?v=Q_tn76HqSEw</a></p>
<p>In this video, Manish Sood from <a href="https://sites.google.com/a/reltio.com/reltio/">Reltio</a> presents: <em>Cassandra: A Foundation for Real-time Big Data Applications at Reltio</em>.</p>
<blockquote><p>Reltio provides the world’s largest enterprise customers with real-time Big Data Applications that help business users understand markets, drive revenue and reduce risk through actionable, real-time and predictive insights integrated into applications and dashboards. These applications require the ability to not only handle data scale, latency, and high availability but also deliver capabilities that address reconciliation of data from multiple sources, handle multiple dimensions (various entities, relationships and interaction data) of varying complexity, with the ability to track audit and bi-temporal data. To solve this challenge, Reltio leverages Cassandra as the enabling data store for multi-tenancy, complex attribute structures, graph storage, real-time search and analytics. These capabilities are delivered as a Service to customers across verticals to address scenarios such as Extended Client views, Client experience &amp; engagement, and Risk &amp; Compliance.</p></blockquote>
<p>Recorded at the<a href="http://www.datastax.com/events/cassandrasummit2012/presentations"> Cassandra 2012</a> conference in Santa Clara. <a href="http://www.datastax.com/wp-content/uploads/2012/08/C2012-CaRealTimeBigDataApp-ManishSood.pdf">Download the slides (PDF)</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/cassandra-a-foundation-for-real-time-big-data-applications-at-reltio/"></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/cassandra-a-foundation-for-real-time-big-data-applications-at-reltio/">Cassandra: A Foundation for Real-time Big Data Applications at Reltio</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		</item>
		<item>
		<title>Video: Cassandra Performance and Scalability on AWS</title>
		<link>http://inside-bigdata.com/video-cassandra-performance-and-scalability-on-aws/</link>
		<comments>http://inside-bigdata.com/video-cassandra-performance-and-scalability-on-aws/#comments</comments>
		<pubDate>Mon, 22 Oct 2012 16:25:16 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Cassandra]]></category>
		<category><![CDATA[Cloud]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=2018</guid>
		<description><![CDATA[<p>http://www.youtube.com/watch?v=Wo-zkUH1R8A In this video, Adrian Cockcroft from Netflix presents: Cassandra Performance and Scalability on AWS. Netflix published a Cassandra scalability benchmark in 2011 that showed linear scalability as the number of nodes in the cluster was increased from 48 to 288 and over a million triple replicated writes per second. This talk will summarize a [...]</p><p>The post <a href="http://inside-bigdata.com/video-cassandra-performance-and-scalability-on-aws/">Video: Cassandra Performance and Scalability on AWS</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.youtube.com/watch?v=Wo-zkUH1R8A">http://www.youtube.com/watch?v=Wo-zkUH1R8A</a></p>
<p>In this video, <a href="http://perfcap.blogspot.com/">Adrian Cockcroft</a> from Netflix presents:<em> Cassandra Performance and Scalability on AWS</em>. </p>
<blockquote><p>Netflix published a Cassandra scalability benchmark in 2011 that showed linear scalability as the number of nodes in the cluster was increased from 48 to 288 and over a million triple replicated writes per second. This talk will summarize a range of new benchmarks that take advantage of more powerful EC2 instances and improvements in Cassandra itself.</p></blockquote>
<p>Recorded at the<a href="http://www.datastax.com/events/cassandrasummit2012"> Cassandra 2012</a> conference in Santa Clara.</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-cassandra-performance-and-scalability-on-aws/"></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-cassandra-performance-and-scalability-on-aws/">Video: Cassandra Performance and Scalability on AWS</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		</item>
		<item>
		<title>Video: Cassandra &#8211; A Real Time Big Data Application</title>
		<link>http://inside-bigdata.com/video-cassandra-a-real-time-big-data-application/</link>
		<comments>http://inside-bigdata.com/video-cassandra-a-real-time-big-data-application/#comments</comments>
		<pubDate>Sat, 25 Aug 2012 15:49:09 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Cassandra]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Startups]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=1829</guid>
		<description><![CDATA[<p>http://www.youtube.com/watch?v=Q_tn76HqSEw In this video, Manish Sood from the Reltio Startup presents: Cassandra &#8211; A Real Time Big Data Application. Recorded at the Cassandra 2012 Summit. Reltio provides the world&#8217;s largest enterprise customers with real-time Big Data Applications that help business users understand markets, drive revenue and reduce risk through actionable, real-time and predictive insights integrated [...]</p><p>The post <a href="http://inside-bigdata.com/video-cassandra-a-real-time-big-data-application/">Video: Cassandra &#8211; A Real Time Big Data Application</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.youtube.com/watch?v=Q_tn76HqSEw">http://www.youtube.com/watch?v=Q_tn76HqSEw</a></p>
<p>In this video, Manish Sood from the <a href="https://sites.google.com/a/reltio.com/reltio/">Reltio</a> Startup presents: <em>Cassandra &#8211; A Real Time Big Data Application</em>. Recorded at the <a href="http://www.datastax.com/events/cassandrasummit2012/presentations">Cassandra 2012 Summit</a>. </p>
<blockquote><p>Reltio provides the world&#8217;s largest enterprise customers with real-time Big Data Applications that help business users understand markets, drive revenue and reduce risk through actionable, real-time and predictive insights integrated into applications and dashboards. These applications require the ability to not only handle data scale, latency, and high availability but also deliver capabilities that address reconciliation of data from multiple sources, handle multiple dimensions (various entities, relationships and interaction data) of varying complexity, with the ability to track audit and bi-temporal data. To solve this challenge, Reltio leverages Cassandra as the enabling data store for multi-tenancy, complex attribute structures, graph storage, real-time search and analytics. These capabilities are delivered as a Service to customers across verticals to address scenarios such as Extended Client views, Client experience &#038; engagement, and Risk &#038; Compliance.</p></blockquote>
<p><a href="http://www.datastax.com/wp-content/uploads/2012/08/C2012-CaRealTimeBigDataApp-ManishSood.pdf">Download the slides (PDF)</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-cassandra-a-real-time-big-data-application/"></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-cassandra-a-real-time-big-data-application/">Video: Cassandra &#8211; A Real Time Big Data Application</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		</item>
		<item>
		<title>Interview: State of Cassandra 2012</title>
		<link>http://inside-bigdata.com/interview-state-of-cassandra-2012/</link>
		<comments>http://inside-bigdata.com/interview-state-of-cassandra-2012/#comments</comments>
		<pubDate>Tue, 14 Aug 2012 12:06:26 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Cassandra]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=1798</guid>
		<description><![CDATA[<p>http://www.youtube.com/watch?v=8ct3FHcMSSY In this interview from The Cube, DataStax CTO Jonathan Ellis talks about his recent keynote at the Cassandra 2012 Summit in Santa Clara. Download the slides (PDF). &#160;</p><p>The post <a href="http://inside-bigdata.com/interview-state-of-cassandra-2012/">Interview: State of Cassandra 2012</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.youtube.com/watch?v=8ct3FHcMSSY">http://www.youtube.com/watch?v=8ct3FHcMSSY</a></p>
<p>In this interview from The Cube, <a href="http://www.datastax.com/">DataStax</a> CTO Jonathan Ellis talks about his recent keynote at the <a href="http://www.datastax.com/events/cassandrasummit2012/presentations">Cassandra 2012 Summit</a> in Santa Clara. <a href="http://www.datastax.com/wp-content/uploads/2012/08/C2012-StateofCassandra-JonathanEllis.pdf">Download the slides (PDF)</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/interview-state-of-cassandra-2012/"></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/interview-state-of-cassandra-2012/">Interview: State of Cassandra 2012</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Infographic: Hadoop Most Popular Big Data Source of 2011</title>
		<link>http://inside-bigdata.com/infographic-hadoop-most-popular-big-data-source-of-2011/</link>
		<comments>http://inside-bigdata.com/infographic-hadoop-most-popular-big-data-source-of-2011/#comments</comments>
		<pubDate>Tue, 28 Feb 2012 17:35:40 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Business of Big Data]]></category>
		<category><![CDATA[Cassandra]]></category>
		<category><![CDATA[Hadoop]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=1127</guid>
		<description><![CDATA[<p>Rachel King over at ZDNet writes that a new Jaspersoft report indicates that Hadoop was the most popular Big Data source in 2011. At the same time, it looks as though document-oriented NoSQL database MongoDB might be seeing the most growth. Key findings so far in the 2012 Big Data Index indicate: Over 15,000 Big [...]</p><p>The post <a href="http://inside-bigdata.com/infographic-hadoop-most-popular-big-data-source-of-2011/">Infographic: Hadoop Most Popular Big Data Source of 2011</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://i.zdnet.com/blogs/zdnet-jaspersoft-infographic.jpg"><img class="alignright" title="Big Data infographic" src="http://i.zdnet.com/blogs/zdnet-jaspersoft-infographic.jpg" alt="" width="225" height="475" /></a>Rachel King over at ZDNet writes that a new <a href="http://www.jaspersoft.com/press/jaspersoft-announces-big-data-index-to-track-demand-for-big-data-analytics">Jaspersoft report</a> indicates that Hadoop was the most popular Big Data source in 2011. At the same time, it looks as though document-oriented NoSQL database MongoDB might be seeing the most growth.</p>
<blockquote><p>Key findings so far in the 2012 Big Data Index indicate:</p>
<ul>
<li>Over 15,000 Big Data connectors were downloaded in 2011;</li>
<li>Demand for MongoDB, the document-oriented NoSQL database, saw the biggest spike with over 200 percent growth in 2011;</li>
<li>Hadoop Hive, the SQL interface to Hadoop MapReduce, represented 60 percent of all Hadoop-based connectors;</li>
<li>Hadoop HBase, the distributed Hadoop environment, was the second most popular Hadoop-based connector;</li>
<li>Cassandra, the high availability NoSQL database, was among the top four most downloaded Big Data sources in 2011; and</li>
<li>Over 27 percent of Big Data connector downloads were for Riak, Infinispan, Neo4J, Redis, CouchDB, VoltDB or others.</li>
</ul>
</blockquote>
<p>Read the <a href="http://www.zdnet.com/blog/btl/hadoop-named-as-most-popular-big-data-source-of-2011-report/70314">Full Story</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/infographic-hadoop-most-popular-big-data-source-of-2011/"></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/infographic-hadoop-most-popular-big-data-source-of-2011/">Infographic: Hadoop Most Popular Big Data Source of 2011</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Java and Big Data with Apache Cassandra</title>
		<link>http://inside-bigdata.com/video-java-and-big-data-with-apache-cassandra/</link>
		<comments>http://inside-bigdata.com/video-java-and-big-data-with-apache-cassandra/#comments</comments>
		<pubDate>Sat, 31 Dec 2011 17:48:04 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Cassandra]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[Video]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=885</guid>
		<description><![CDATA[<p>http://www.youtube.com/watch?v=4zjB6eQiZlE In this video from the Cassandra NYC 2011 conference, Nate McCall from DataStax provides a brief introduction and overview of key Apache Cassandra concepts such as idempotence, tunable consistency, and shared-nothing clusters all through the process of creating a simple application. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-java-and-big-data-with-apache-cassandra/">Video: Java and Big Data with Apache Cassandra</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.youtube.com/watch?v=4zjB6eQiZlE">http://www.youtube.com/watch?v=4zjB6eQiZlE</a></p>
<p>In this video from the <a href="http://www.datastax.com/events/cassandranyc2011">Cassandra NYC 2011 conference</a>, Nate McCall from DataStax provides a brief introduction and overview of key Apache Cassandra concepts such as idempotence, tunable consistency, and shared-nothing clusters all through the process of creating a simple application.</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-java-and-big-data-with-apache-cassandra/"></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-java-and-big-data-with-apache-cassandra/">Video: Java and Big Data with Apache Cassandra</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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		<item>
		<title>Video: Cassandra vs. HBase for Big Data NoSQL</title>
		<link>http://inside-bigdata.com/video-cassandra-vs-hbase-for-big-data-nosql/</link>
		<comments>http://inside-bigdata.com/video-cassandra-vs-hbase-for-big-data-nosql/#comments</comments>
		<pubDate>Tue, 06 Sep 2011 20:11:04 +0000</pubDate>
		<dc:creator>Rich</dc:creator>
				<category><![CDATA[Cassandra]]></category>
		<category><![CDATA[HBase]]></category>

		<guid isPermaLink="false">http://inside-bigdata.com/?p=291</guid>
		<description><![CDATA[<p>In this video, Nick Telford from Datasift contrasts Cassandra and HBase. Telford has used both Cassandra and HBase in a real &#8220;big data&#8221; production environment at Datasift, and in this talk he provides expert insight into the two NoSQL solutions. The video can&#8217;t be easily embedded, so you can view it here. &#160;</p><p>The post <a href="http://inside-bigdata.com/video-cassandra-vs-hbase-for-big-data-nosql/">Video: Cassandra vs. HBase for Big Data NoSQL</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://skillsmatter.com/podcast/home/cassandra-hbase"><img alt="" src="http://dl.dropbox.com/u/5192443/nickTelford.jpg" title="Nick Telford" class="alignright" width="339" height="280" /></a>In this video, Nick Telford from <a href="http://datasift.com/">Datasift</a> contrasts Cassandra and HBase. Telford has used both Cassandra and HBase in a real &#8220;big data&#8221; production environment at Datasift, and in this talk he provides  expert insight into the two NoSQL solutions.</p>
<p>The video can&#8217;t be easily embedded, so you can view it <a href="http://skillsmatter.com/podcast/home/cassandra-hbase">here</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-cassandra-vs-hbase-for-big-data-nosql/"></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-cassandra-vs-hbase-for-big-data-nosql/">Video: Cassandra vs. HBase for Big Data NoSQL</a> appeared first on <a href="http://inside-bigdata.com">Inside-BigData</a>.</p>]]></content:encoded>
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