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	<title>Gigaom Search &#187; stream processing</title>
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		<title>Survey reveals a few interesting numbers about Apache Spark</title>
		<link>https://gigaom.com/2015/01/27/a-few-interesting-numbers-about-apache-spark/</link>
		<comments>https://gigaom.com/2015/01/27/a-few-interesting-numbers-about-apache-spark/#comments</comments>
		<pubDate>Tue, 27 Jan 2015 20:00:21 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[Databricks]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[Typesafe]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=910109</guid>
		<description><![CDATA[A new survey from startups Databricks and Typesafe revealed some interesting insights into how software developers are using the Apache Spark data-processing framework. Spark is an open source project that has&#8230;]]></description>
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		<title>Why data science matters and how technology makes it possible</title>
		<link>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/</link>
		<comments>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/#comments</comments>
		<pubDate>Sat, 24 Jan 2015 18:06:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[data scientists]]></category>
		<category><![CDATA[Fast Forward Labs]]></category>
		<category><![CDATA[sensor data]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[Structure Data 2015]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=909496</guid>
		<description><![CDATA[When Hilary Mason talks about data, it's a good idea to listen. She was chief data scientist at Bit.ly, data scientist in residence at venture capital firm Accel Partners, and is&#8230;]]></description>
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		<title>Cloudera tunes Google&#8217;s Dataflow to run on Spark</title>
		<link>https://gigaom.com/2015/01/20/cloudera-tunes-googles-dataflow-to-run-on-spark-clusters/</link>
		<comments>https://gigaom.com/2015/01/20/cloudera-tunes-googles-dataflow-to-run-on-spark-clusters/#comments</comments>
		<pubDate>Tue, 20 Jan 2015 16:16:16 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[batch-processing]]></category>
		<category><![CDATA[Cloud Dataflow]]></category>
		<category><![CDATA[dataflow]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[real-time processing]]></category>
		<category><![CDATA[stream processing]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=907914</guid>
		<description><![CDATA[Hadoop software company Cloudera has worked with Google to make Google's Dataflow programming model run on Apache Spark. Dataflow, which Google announced as a cloud service in June, lets programmers write the same&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/20/cloudera-tunes-googles-dataflow-to-run-on-spark-clusters/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<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>
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		<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>
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		<title>A startup wants to build a trading platform for sensor data</title>
		<link>https://gigaom.com/2014/12/05/a-startup-wants-to-build-a-trading-platform-for-sensor-data/</link>
		<comments>https://gigaom.com/2014/12/05/a-startup-wants-to-build-a-trading-platform-for-sensor-data/#comments</comments>
		<pubDate>Fri, 05 Dec 2014 20:57:04 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[sensor data]]></category>
		<category><![CDATA[stream processing]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=898403</guid>
		<description><![CDATA[A startup out of Las Vegas is trying to capitalize on a very difficult, and potentially very lucrative, opportunity within the internet of things. The company, called Terbine, wants to become a data broker for the&#8230;]]></description>
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		<slash:comments>2</slash:comments>
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		<title>The team that created Kafka is leaving LinkedIn to build a company around it</title>
		<link>https://gigaom.com/2014/11/06/the-team-that-created-kafka-is-leaving-linkedin-to-build-a-company-around-it/</link>
		<comments>https://gigaom.com/2014/11/06/the-team-that-created-kafka-is-leaving-linkedin-to-build-a-company-around-it/#comments</comments>
		<pubDate>Thu, 06 Nov 2014 18:00:56 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Kafka]]></category>
		<category><![CDATA[Apache Storm]]></category>
		<category><![CDATA[Confluent]]></category>
		<category><![CDATA[Jay Kreps]]></category>
		<category><![CDATA[Kafka]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[stream processing]]></category>
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		<description><![CDATA[A trio of LinkedIn engineers, led by Jay Kreps, is taking the Apache Kafka technology they helped create commercial. Their new company, called Confluent, wants to enable real-time data processing in&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/06/the-team-that-created-kafka-is-leaving-linkedin-to-build-a-company-around-it/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<item>
		<title>Microsoft adds stream processing and pipeline tools to Azure</title>
		<link>https://gigaom.com/2014/10/29/microsoft-adds-stream-processing-and-pipeline-tools-to-azure/</link>
		<comments>https://gigaom.com/2014/10/29/microsoft-adds-stream-processing-and-pipeline-tools-to-azure/#comments</comments>
		<pubDate>Wed, 29 Oct 2014 21:26:44 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[stream processing]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=884793</guid>
		<description><![CDATA[Microsoft announced a trio of new cloud data services on Wednesday aimed at stream processing and data pipelines. They're not revolutionary, but they appear to have their own advantages, and they&#8230;]]></description>
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		<item>
		<title>ZoomData raises $17M to become the visualization layer for big data</title>
		<link>https://gigaom.com/2014/10/06/zoomdata-raises-17m-to-become-the-visualization-layer-for-big-data/</link>
		<comments>https://gigaom.com/2014/10/06/zoomdata-raises-17m-to-become-the-visualization-layer-for-big-data/#comments</comments>
		<pubDate>Mon, 06 Oct 2014 17:06:30 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[Zoomdata]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=878595</guid>
		<description><![CDATA[ZoomData has raised another $17 million for its visualization technology that was built with stream processing and iPads in mind, but has since made the leap to historical data and desktops,&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/06/zoomdata-raises-17m-to-become-the-visualization-layer-for-big-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Measuring the world&#8217;s emotions using Twitter and Amazon&#8217;s cloud</title>
		<link>https://gigaom.com/2014/06/05/measuring-the-worlds-emotions-using-twitter-and-amazons-cloud/</link>
		<comments>https://gigaom.com/2014/06/05/measuring-the-worlds-emotions-using-twitter-and-amazons-cloud/#comments</comments>
		<pubDate>Thu, 05 Jun 2014 19:43:00 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Open Data]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[social science]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[text analysis]]></category>
		<category><![CDATA[Twitter data]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=847279</guid>
		<description><![CDATA[Amazon Web Services, Gnip and two Australian research institutions have teamed up to track the emotions of tweets in near real-time and offer the data to the public via visualizations, downloadable&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/06/05/measuring-the-worlds-emotions-using-twitter-and-amazons-cloud/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>AT&amp;T Labs, Continuuity will open source a Hadoop streaming engine called jetStream</title>
		<link>https://gigaom.com/2014/06/03/att-labs-continuuity-will-open-source-a-hadoop-streaming-engine-called-jetstream/</link>
		<comments>https://gigaom.com/2014/06/03/att-labs-continuuity-will-open-source-a-hadoop-streaming-engine-called-jetstream/#comments</comments>
		<pubDate>Tue, 03 Jun 2014 22:10:42 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Storm]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[real-time time]]></category>
		<category><![CDATA[stream processing]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=846856</guid>
		<description><![CDATA[Big data startup Continuuity has teamed with AT&#38;T Labs on an open source project called jetStream that pairs a high-throughput SQL database with a real-time data-processing engine. The goal is to&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/06/03/att-labs-continuuity-will-open-source-a-hadoop-streaming-engine-called-jetstream/feed/</wfw:commentRss>
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