<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
			xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
		>

<channel>
	<title>Gigaom Search &#187; Technologies and Products &#187; mapreduce</title>
	<atom:link href="http://search.gigaom.com/technology/mapreduce/feed/" rel="self" type="application/rss+xml" />
	<link>http://search.gigaom.com</link>
	<description></description>
	<lastBuildDate>Wed, 11 Mar 2015 04:34:30 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=4.1</generator>
	<item>
		<title>How Twitter processes tons of mobile application data each day</title>
		<link>http://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/</link>
		<comments>http://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 23:31:49 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[batch-processing]]></category>
		<category><![CDATA[batch-processing jobs]]></category>
		<category><![CDATA[cloud infrastructure]]></category>
		<category><![CDATA[parallel computing]]></category>
		<category><![CDATA[probabilistic algorithms]]></category>
		<category><![CDATA[real-time processing]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915404</guid>
		<description><![CDATA[It’s only been seven months since Twitter released its Answers tool, which was designed to provide users with mobile application analytics. But since that time, Twitter now sees roughly five billion&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Outlook: Big data and analytics in 2015</title>
		<link>http://research.gigaom.com/report/outlook-big-data-and-analytics-in-2015/</link>
		<comments>http://research.gigaom.com/report/outlook-big-data-and-analytics-in-2015/#comments</comments>
		<pubDate>Tue, 23 Dec 2014 15:00:36 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Alticscale]]></category>
		<category><![CDATA[Apache Drill]]></category>
		<category><![CDATA[hadoop as a service]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[pig]]></category>
		<category><![CDATA[Qubole]]></category>
		<category><![CDATA[RBAC]]></category>
		<category><![CDATA[Splice Machine]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:SAP]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:HPQ]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=243243/</guid>
		<description><![CDATA[The year 2015 will be one in which data and analytics technologies become more standardized, more broadly adopted, and more successful.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/outlook-big-data-and-analytics-in-2015/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Apache Hadoop: Is one cluster enough?</title>
		<link>http://research.gigaom.com/report/apache-hadoop-is-one-cluster-enough/</link>
		<comments>http://research.gigaom.com/report/apache-hadoop-is-one-cluster-enough/#comments</comments>
		<pubDate>Mon, 15 Dec 2014 16:00:08 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache YARN]]></category>
		<category><![CDATA[batch-processing]]></category>
		<category><![CDATA[cloud infrastructure]]></category>
		<category><![CDATA[data lake]]></category>
		<category><![CDATA[in memory processing]]></category>
		<category><![CDATA[stream processing]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:YHOO]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:YHOO]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:GE]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=242688/</guid>
		<description><![CDATA[Projects like Apache YARN expand the types of workloads for which Hadoop is a viable and compelling solution, leading practitioners to think more creatively managing data.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/apache-hadoop-is-one-cluster-enough/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Hadoop needs a better front-end for business users</title>
		<link>https://gigaom.com/2014/12/07/hadoop-needs-a-better-front-end-for-business-users/</link>
		<comments>https://gigaom.com/2014/12/07/hadoop-needs-a-better-front-end-for-business-users/#comments</comments>
		<pubDate>Sun, 07 Dec 2014 14:00:30 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[HDInsight]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=898368</guid>
		<description><![CDATA[Whether you're running it on premises or in the cloud, Hadoop leaves a lot to be desired in the ease-of-use department. The Hadoop offerings on the three major cloud platforms (Amazon's&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/07/hadoop-needs-a-better-front-end-for-business-users/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>LinkedIn open sources Cubert, a big data computation engine that saves CPU resources</title>
		<link>https://gigaom.com/2014/11/11/linkedin-open-sources-cubert-a-big-data-computation-engine-that-saves-cpu-resources/</link>
		<comments>https://gigaom.com/2014/11/11/linkedin-open-sources-cubert-a-big-data-computation-engine-that-saves-cpu-resources/#comments</comments>
		<pubDate>Tue, 11 Nov 2014 19:43:43 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Hadoop]]></category>
		<category><![CDATA[cloud infrastructure]]></category>
		<category><![CDATA[Cubert]]></category>
		<category><![CDATA[Pinot]]></category>
		<category><![CDATA[real-time data analytics system]]></category>
		<category><![CDATA[real-time messaging system]]></category>
		<category><![CDATA[resource-saving algorithms]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=887995</guid>
		<description><![CDATA[With Cubert hooked into LinkedIn’s infrastructure, the company no longer has to worry about Hadoop scripts that waste too many resources in a cluster or take hours to do what they're&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/11/linkedin-open-sources-cubert-a-big-data-computation-engine-that-saves-cpu-resources/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Stanford class on mining massive datasets is now on Coursera</title>
		<link>https://gigaom.com/2014/09/17/stanford-class-on-mining-massive-datasets-is-now-on-coursera/</link>
		<comments>https://gigaom.com/2014/09/17/stanford-class-on-mining-massive-datasets-is-now-on-coursera/#comments</comments>
		<pubDate>Wed, 17 Sep 2014 18:44:26 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[massive open online courses (MOOCs)]]></category>
		<category><![CDATA[MOOCs]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=873953</guid>
		<description><![CDATA["Mining Massive Datasets," a Stanford course taught by a trio of instructors including Kosmix and Junglee founder, and former Amazon technology director, Anand Rajaraman, will be available on Coursera beginning Sept. 29&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/09/17/stanford-class-on-mining-massive-datasets-is-now-on-coursera/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>A developer’s checklist for deploying the internet of things</title>
		<link>http://research.gigaom.com/report/a-developers-checklist-for-deploying-the-internet-of-things/</link>
		<comments>http://research.gigaom.com/report/a-developers-checklist-for-deploying-the-internet-of-things/#comments</comments>
		<pubDate>Wed, 10 Sep 2014 21:45:22 +0000</pubDate>
		<dc:creator><![CDATA[Rich Morrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=236783/</guid>
		<description><![CDATA[While every development project requires a different set of skills, and the internet of things is still in its earliest stages, there are certain tools with which budding IoT developers should&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/a-developers-checklist-for-deploying-the-internet-of-things/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Beyond MapReduce: How the new Hadoop works</title>
		<link>http://research.gigaom.com/report/beyond-mapreduce-how-the-new-hadoop-works/</link>
		<comments>http://research.gigaom.com/report/beyond-mapreduce-how-the-new-hadoop-works/#comments</comments>
		<pubDate>Tue, 12 Aug 2014 07:30:43 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[ASF]]></category>
		<category><![CDATA[data lake]]></category>
		<category><![CDATA[edw]]></category>
		<category><![CDATA[HDFS]]></category>
		<category><![CDATA[Impala]]></category>
		<category><![CDATA[Qubole]]></category>
		<category><![CDATA[YARN]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:HPQ]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=234965/</guid>
		<description><![CDATA[New features included in Hadoop’s latest releases go some way towards freeing an increasingly capable data platform from the constraints of its early dependence on one specific technical approach: MapReduce. ]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/beyond-mapreduce-how-the-new-hadoop-works/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Moving Hadoop beyond MapReduce</title>
		<link>http://research.gigaom.com/report/moving-hadoop-beyond-mapreduce/</link>
		<comments>http://research.gigaom.com/report/moving-hadoop-beyond-mapreduce/#comments</comments>
		<pubDate>Wed, 30 Jul 2014 20:36:21 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Ambari]]></category>
		<category><![CDATA[Avro]]></category>
		<category><![CDATA[CDH]]></category>
		<category><![CDATA[HDP]]></category>
		<category><![CDATA[YARN]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=234187/</guid>
		<description><![CDATA[Hadoop far more than the one-trick pony it was once characterized as, and with its new capabilities, businesses are using it to gain real insight and add real value.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/moving-hadoop-beyond-mapreduce/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Pinterest explains how it runs a souped-up version of Hadoop</title>
		<link>https://gigaom.com/2014/07/24/pinterest-explains-how-it-runs-a-souped-up-version-of-hadoop/</link>
		<comments>https://gigaom.com/2014/07/24/pinterest-explains-how-it-runs-a-souped-up-version-of-hadoop/#comments</comments>
		<pubDate>Thu, 24 Jul 2014 17:00:53 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Elastic Map Reduce]]></category>
		<category><![CDATA[pins]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=860216</guid>
		<description><![CDATA[The social scrapbook and visual discovery site,  which processes about a petabyte of data daily, uses the Hadoop-as-a-service startup Qubole to handle Hadoop jobs and Puppet for its data processing configuration. ]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/24/pinterest-explains-how-it-runs-a-souped-up-version-of-hadoop/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
	</channel>
</rss>