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<?xml-stylesheet type="text/xsl" media="screen" href="/~d/styles/atom10full.xsl"?><?xml-stylesheet type="text/css" media="screen" href="http://feeds.feedburner.com/~d/styles/itemcontent.css"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:blogger="http://schemas.google.com/blogger/2008" xmlns:georss="http://www.georss.org/georss" xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr="http://purl.org/syndication/thread/1.0" xmlns:feedburner="http://rssnamespace.org/feedburner/ext/1.0" gd:etag="W/&quot;CE4ESHgyeSp7ImA9WhFSFUo.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784</id><updated>2013-06-18T09:28:29.691-07:00</updated><category term="solutions" /><category term="architecture" /><category term="quiz" /><category term="learn" /><category term="industry" /><category term="vendors" /><title>hadoopsphere.com</title><subtitle type="html" /><link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/posts/default" /><link rel="alternate" type="text/html" href="http://www.hadoopsphere.com/" /><link rel="next" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default?start-index=26&amp;max-results=25&amp;redirect=false&amp;v=2" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><generator version="7.00" uri="http://www.blogger.com">Blogger</generator><openSearch:totalResults>72</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><atom10:link xmlns:atom10="http://www.w3.org/2005/Atom" rel="self" type="application/atom+xml" href="http://feeds.feedburner.com/hadoopsphere/Cfpe" /><feedburner:info uri="hadoopsphere/cfpe" /><atom10:link xmlns:atom10="http://www.w3.org/2005/Atom" rel="hub" href="http://pubsubhubbub.appspot.com/" /><xhtml:meta xmlns:xhtml="http://www.w3.org/1999/xhtml" name="robots" content="noindex" /><meta xmlns="http://pipes.yahoo.com" name="pipes" content="noprocess" /><entry gd:etag="W/&quot;CEIEQXkzeSp7ImA9WhFSFEo.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-6801078574707510297</id><published>2013-06-17T05:35:00.000-07:00</published><updated>2013-06-17T05:35:00.781-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-06-17T05:35:00.781-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>In-memory data model with Apache Gora</title><content type="html">Open
source in-memory data model and persistence for big data framework Apache Gora™ version 0.3,
was released in May 2013. The 0.3 release offers significant improvements and
changes to a number of...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/Mc933xO8JDA" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/6801078574707510297/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=6801078574707510297&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6801078574707510297?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6801078574707510297?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/Mc933xO8JDA/in-memory-data-model-with-apache-gora.html" title="In-memory data model with Apache Gora" /><author><name>Hadoop Reporter</name><uri>http://www.blogger.com/profile/08867930107048620070</uri><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://2.bp.blogspot.com/-nrjkoQsi0fM/UboBDfbdQxI/AAAAAAAABLg/niiZ1dyXfhI/s72-c/in-memory-gora.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/06/in-memory-data-model-with-apache-gora.html</feedburner:origLink></entry><entry gd:etag="W/&quot;AkUEQn4ycSp7ImA9WhFTGEs.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-8597789111111701795</id><published>2013-06-10T05:36:00.001-07:00</published><updated>2013-06-10T05:43:23.099-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-06-10T05:43:23.099-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>Beyond NSA, the intelligence community has a big technology footprint</title><content type="html">While
all through the past few days the focus has been on NSA activities, the
discussion has often veered around the technologies and products used by NSA.
At the same time, a side discussion topic...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/R640vo3Tcwo" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/8597789111111701795/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=8597789111111701795&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8597789111111701795?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8597789111111701795?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/R640vo3Tcwo/beyond-nsa-intelligence-community-has.html" title="Beyond NSA, the intelligence community has a big technology footprint" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-FS03yJxU5Io/UbXFt28z7BI/AAAAAAAABKk/_PRJWSRwZBc/s72-c/iqt-big-data-footprint.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/06/beyond-nsa-intelligence-community-has.html</feedburner:origLink></entry><entry gd:etag="W/&quot;C0QFQHs-cCp7ImA9WhFTE0k.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-1199008887370624086</id><published>2013-06-03T06:55:00.000-07:00</published><updated>2013-06-04T03:21:51.558-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-06-04T03:21:51.558-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>Options for MapReduce with HPC</title><content type="html">There has been a strong motivation and desire for
co-existence of Hadoop and HPC clusters. While it is true that the HPC world
would like to optimize their clusters and leverage MapReduce, it is also...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/iPw1fK3YWks" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/1199008887370624086/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=1199008887370624086&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/1199008887370624086?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/1199008887370624086?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/iPw1fK3YWks/options-for-mapreduce-with-hpc.html" title="Options for MapReduce with HPC" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-4b_DPnhoec4/Uayd3CSSf2I/AAAAAAAABJY/KRi9nMoNIhk/s72-c/HPC_MapReduce.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/06/options-for-mapreduce-with-hpc.html</feedburner:origLink></entry><entry gd:etag="W/&quot;C0YHR30-eyp7ImA9WhBaGE4.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-2499439208956276424</id><published>2013-05-27T09:47:00.000-07:00</published><updated>2013-05-29T05:38:56.353-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-29T05:38:56.353-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="vendors" /><title>Hadoop High 5 with MapR's John Schroeder</title><content type="html">1. Give us a glimpse of your journey with MapR so far.







MapR Technologies has experienced major customer acquisition and corporate expansion since I cofounded the company in 2009. MapR is...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/DzhpYTp1OvY" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/2499439208956276424/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=2499439208956276424&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/2499439208956276424?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/2499439208956276424?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/DzhpYTp1OvY/hadoop-high-5-with-maprs-john-schroeder.html" title="Hadoop High 5 with MapR's John Schroeder" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-JzzgtOhjW9k/UaNLjK3K-VI/AAAAAAAABHA/MsEzMR2jNLk/s72-c/hadoopsphere-MapR.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/05/hadoop-high-5-with-maprs-john-schroeder.html</feedburner:origLink></entry><entry gd:etag="W/&quot;C0UMSHY6fip7ImA9WhBaEEo.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-6720155725226839570</id><published>2013-05-20T10:33:00.005-07:00</published><updated>2013-05-20T10:34:49.816-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-20T10:34:49.816-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="architecture" /><title>Caching mechanisms in data visualization software</title><content type="html">As the golden boy of data visualization, Tableau Software (NYSE: DATA) made its debut on the stock exchange, it ended day 1 at whopping market
capitalization of 2.9 billion $. This emphasized once...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/a8pSp0Uvr-s" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/6720155725226839570/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=6720155725226839570&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6720155725226839570?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6720155725226839570?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/a8pSp0Uvr-s/caching-mechanisms-in-data.html" title="Caching mechanisms in data visualization software" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://1.bp.blogspot.com/-0iUBTubKlmY/UZpZFuixIwI/AAAAAAAABDs/OwwroGL5o28/s72-c/679x335_paralleldashboards.gif" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/05/caching-mechanisms-in-data.html</feedburner:origLink></entry><entry gd:etag="W/&quot;AkUHRH04eCp7ImA9WhBbFUk.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-223698493066230928</id><published>2013-05-14T09:16:00.001-07:00</published><updated>2013-05-14T09:17:15.330-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-14T09:17:15.330-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>Anti-Patterns in Big Data convergence with M2M</title><content type="html">It is almost an open secret right now that the next
big trend in Big Data space would be the adoption in M2M and ‘Internet of
Things’ arena. If any major indicators of the battle that would happen...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/vJoIDBr9CU8" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/223698493066230928/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=223698493066230928&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/223698493066230928?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/223698493066230928?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/vJoIDBr9CU8/anti-patterns-in-big-data-convergence.html" title="Anti-Patterns in Big Data convergence with M2M" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://2.bp.blogspot.com/-s3kArIe_QYA/UZJe5LioVSI/AAAAAAAABDE/mK75iGQ15CQ/s72-c/Network-Nodes-300x297.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/05/anti-patterns-in-big-data-convergence.html</feedburner:origLink></entry><entry gd:etag="W/&quot;D0MDQ3g4cCp7ImA9WhBUGEs.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-3254866483886539300</id><published>2013-05-06T11:37:00.001-07:00</published><updated>2013-05-06T11:37:52.638-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-06T11:37:52.638-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>Hadoop's 10 in LinkedIn's 10</title><content type="html">LinkedIn,
the pioneering professional social network has turned 10 years old. One of the hallmarks
of its journey has been its technical accomplishments and significant
contribution to open source,...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/kcUsvAyzXtQ" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/3254866483886539300/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=3254866483886539300&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/3254866483886539300?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/3254866483886539300?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/kcUsvAyzXtQ/hadoops-10-in-linkedins-10.html" title="Hadoop's 10 in LinkedIn's 10" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-tEFMtkWqhXQ/UYf1yU7qz0I/AAAAAAAABCo/B6VCLwcby48/s72-c/Linkedin-hadoop.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/05/hadoops-10-in-linkedins-10.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CE8HQ3c_eCp7ImA9WhBUFUU.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-358261688353245540</id><published>2013-04-29T05:35:00.001-07:00</published><updated>2013-05-03T05:07:12.940-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-03T05:07:12.940-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>Have you used Lua for MapReduce?</title><content type="html">Lua as a cross platform
programming language has been popularly used in games and embedded systems.
However, due to its excellent use for configuration, it has found wider
acceptance in other user...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/ygRCJZ_SaKg" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/358261688353245540/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=358261688353245540&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/358261688353245540?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/358261688353245540?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/ygRCJZ_SaKg/have-you-used-lua-for-mapreduce.html" title="Have you used Lua for MapReduce?" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://2.bp.blogspot.com/-Lsjq1VDkSh8/UX5m8ZaZtPI/AAAAAAAABCM/rBPGWPSOgto/s72-c/lua-hadoopsphere.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/04/have-you-used-lua-for-mapreduce.html</feedburner:origLink></entry><entry gd:etag="W/&quot;A0YASHkzcSp7ImA9WhBVFk8.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-27999691010429201</id><published>2013-04-22T03:59:00.000-07:00</published><updated>2013-04-22T04:12:29.789-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-04-22T04:12:29.789-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>MRQL - a SQL on Hadoop Miracle</title><content type="html">Recently, the Apache Incubator accepted a new query engine for
Hadoop and Hama, called MRQL (pronounced miracle), which was initially
developed in 2011 by Leonidas Fegaras.








MRQL (MapReduce...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/yQTVn7kTYFY" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/27999691010429201/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=27999691010429201&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/27999691010429201?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/27999691010429201?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/yQTVn7kTYFY/mrql-sql-on-hadoop-miracle.html" title="MRQL - a SQL on Hadoop Miracle" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-9pArnWzxm5g/UXJQH-VP6PI/AAAAAAAABBw/mRSJbBinOJI/s72-c/MRQL.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/04/mrql-sql-on-hadoop-miracle.html</feedburner:origLink></entry><entry gd:etag="W/&quot;DkYHQ30yeSp7ImA9WhBVEE8.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-8910019551271105872</id><published>2013-04-15T04:08:00.001-07:00</published><updated>2013-04-15T04:08:52.391-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-04-15T04:08:52.391-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>Hadoop use cases in the Bitcoin economy</title><content type="html">Bitcoin as a decentralized P2P virtual currency has become a
hot topic of discussion and analysis in the last few months. Due to its
unregulated nature and possibility to exchange it for real life...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/mYTRWI5SLTE" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/8910019551271105872/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=8910019551271105872&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8910019551271105872?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8910019551271105872?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/mYTRWI5SLTE/hadoop-use-cases-in-bitcoin-economy.html" title="Hadoop use cases in the Bitcoin economy" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-Wp8akIDohY0/UWveGQUz3bI/AAAAAAAABA4/PojdJaIRxXw/s72-c/bitcoin.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/04/hadoop-use-cases-in-bitcoin-economy.html</feedburner:origLink></entry><entry gd:etag="W/&quot;A0QHSH05fyp7ImA9WhBWFEw.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-3491589846589179613</id><published>2013-04-08T04:03:00.000-07:00</published><updated>2013-04-08T04:08:59.327-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-04-08T04:08:59.327-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>Tools and Techniques for Matrix factorization</title><content type="html">Matrix
factorization as a technique of Collaborative filtering has been the preferred
choice for recommendation systems ever since Netflix million $ competition was
held a few years back. Further,...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/-YweuhZA93k" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/3491589846589179613/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=3491589846589179613&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/3491589846589179613?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/3491589846589179613?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/-YweuhZA93k/tools-and-techniques-for-matrix.html" title="Tools and Techniques for Matrix factorization" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://4.bp.blogspot.com/-SLSSWZTiGa0/UWKh8OY8L5I/AAAAAAAABAY/kMPdvhdOKew/s72-c/Collaborative_filtering.gif" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/04/tools-and-techniques-for-matrix.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CkQEQng7fSp7ImA9WhBWFE8.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-8526901362508426211</id><published>2013-04-01T04:50:00.001-07:00</published><updated>2013-04-08T04:25:03.605-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-04-08T04:25:03.605-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>YAS - 1000x faster SQL on Hadoop engine</title><content type="html">In
a major announcement, hadoopsphere.com today announced the launch of YAS, a
modern SQL engine which is 1000x faster than its closest competitor.&amp;nbsp;














A:
You got it right. This is an...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/A-oRq5QNHpQ" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/8526901362508426211/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=8526901362508426211&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8526901362508426211?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8526901362508426211?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/A-oRq5QNHpQ/yas-1000x-faster-sql-on-hadoop-engine.html" title="YAS - 1000x faster SQL on Hadoop engine" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-4lnWx2KP17g/UVlyxEPtpXI/AAAAAAAAA_8/gQDEjQ0znQw/s72-c/sql-on-hadoop-symbolic-image.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/04/yas-1000x-faster-sql-on-hadoop-engine.html</feedburner:origLink></entry><entry gd:etag="W/&quot;DUcHQnc6eyp7ImA9WhBXGEw.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-7927198092508457703</id><published>2013-03-27T12:57:00.000-07:00</published><updated>2013-04-01T04:50:33.913-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-04-01T04:50:33.913-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>Apache Crunch: Laying the pipelines for the Hadoop refinery</title><content type="html">Apache Crunch recently graduated from an incubator to an ASF top level project. Let’s
take a better look at this Java library which aims to make writing, testing and
running MapReduce pipelines...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/sgRc1WczEsA" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/7927198092508457703/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=7927198092508457703&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/7927198092508457703?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/7927198092508457703?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/sgRc1WczEsA/apache-crunch-laying-pipelines-for.html" title="Apache Crunch: Laying the pipelines for the Hadoop refinery" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-IWLzEstizyg/UVNTOBQczGI/AAAAAAAAA_s/4JGurviv_O8/s72-c/crunch-pipelines-hadoopsphere.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/03/apache-crunch-laying-pipelines-for.html</feedburner:origLink></entry><entry gd:etag="W/&quot;DEQERnk6fCp7ImA9WhBQFkw.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-6860479767560867197</id><published>2013-03-18T07:18:00.001-07:00</published><updated>2013-03-18T07:18:27.714-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-03-18T07:18:27.714-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="architecture" /><title>Cloud provisioning with Apache Zookeeper</title><content type="html">A
few months back we explored how Java
apps could be provisioned on the cloud using YARN. Based on the interest
that post generated, let us re-visit the topic and explore provisioning with a...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/Bx7xX3AHw_s" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/6860479767560867197/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=6860479767560867197&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6860479767560867197?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6860479767560867197?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/Bx7xX3AHw_s/cloud-provisioning-with-apache-zookeeper.html" title="Cloud provisioning with Apache Zookeeper" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-p7RbW3RCDI4/UUchlKp1F1I/AAAAAAAAA_M/mr-QBwgmw3g/s72-c/cloud_zookeeper.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/03/cloud-provisioning-with-apache-zookeeper.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CkcCSXozfyp7ImA9WhBQEUk.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-7628455470522986744</id><published>2013-03-12T02:57:00.000-07:00</published><updated>2013-03-12T19:01:08.487-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-03-12T19:01:08.487-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>Apache Hadoop ecosystem - March 2013</title><content type="html">Apache Hadoop ecosystem continues to evolve at a
rapid pace with newer projects that are being added as incubators while those
currently under incubation are getting ready to graduate out. Let’s...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/nO5t4_OQ_QU" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/7628455470522986744/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=7628455470522986744&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/7628455470522986744?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/7628455470522986744?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/nO5t4_OQ_QU/apache-hadoop-ecosystem-march-2013_12.html" title="Apache Hadoop ecosystem - March 2013" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://2.bp.blogspot.com/-K56LoUpsfyU/UT_c_-0o52I/AAAAAAAAA-0/pOVbvDDk1Jw/s72-c/Apache_Hadoop_ecosystem_March_2013_v1.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/03/apache-hadoop-ecosystem-march-2013_12.html</feedburner:origLink></entry><entry gd:etag="W/&quot;AkUHRnwzeyp7ImA9WhBRFEw.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-8899789310013059647</id><published>2013-03-04T09:27:00.000-08:00</published><updated>2013-03-04T09:30:37.283-08:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-03-04T09:30:37.283-08:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>Let the Benchmarking contests begin</title><content type="html">And,
you thought your Big Data cluster was faster than your next door competitor.
Oh, well… it’s time to prove it, contribute to an initiative and of course, get
the honors. A new benchmarking...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/7LohKnlweqs" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/8899789310013059647/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=8899789310013059647&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8899789310013059647?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/8899789310013059647?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/7LohKnlweqs/let-benchmarking-contests-begin.html" title="Let the Benchmarking contests begin" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-Q4j2l_rfN-A/UTTXRIQJkjI/AAAAAAAAA90/eKwLGrdZHy0/s72-c/ID-10041726.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/03/let-benchmarking-contests-begin.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CUEGRnk5cCp7ImA9WhBREUk.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-4425388837547358377</id><published>2013-02-25T02:30:00.000-08:00</published><updated>2013-03-01T05:13:47.728-08:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-03-01T05:13:47.728-08:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>Startup Showcase finalists at Strata 2013</title><content type="html">An overview of finalists at Startup Showcase event of O'Reilly &amp;nbsp;Strata Conference to be held in Santa Clara, CA, USA on February 26, 2013.




The finalists this time around include an eclectic...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/uSI6u_qSmSc" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/4425388837547358377/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=4425388837547358377&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/4425388837547358377?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/4425388837547358377?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/uSI6u_qSmSc/startup-showcase-finalists-at-strata.html" title="Startup Showcase finalists at Strata 2013" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-AnGfYwCQog4/USkb1N4P8-I/AAAAAAAAA58/Ixe14jyQ0KI/s72-c/strata-header.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/02/startup-showcase-finalists-at-strata.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CE4FSHg8cCp7ImA9WhBUFUU.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-7995426713902924601</id><published>2013-02-20T13:30:00.000-08:00</published><updated>2013-05-03T05:08:39.678-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-03T05:08:39.678-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><category scheme="http://www.blogger.com/atom/ns#" term="vendors" /><title>Tez - The race for secure low latency Hadoop picks up more speed</title><content type="html">We had been expecting
this… honestly, yes. Hortonworks, a Yahoo spin-off for Hadoop, has made the
headlines again. So while Marissa Mayer was busy revealing a new version of
Yahoo.com home page in a...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/y2cEaYmN6rI" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/7995426713902924601/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=7995426713902924601&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/7995426713902924601?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/7995426713902924601?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/y2cEaYmN6rI/tezaur-tez-race-for-secure-low-latency.html" title="Tez - The race for secure low latency Hadoop picks up more speed" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://4.bp.blogspot.com/-cyQafxPQPmE/USU9SRoD_PI/AAAAAAAAA3s/HS7B2RdG2yY/s72-c/horton-speed-arun_murthy.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/02/tezaur-tez-race-for-secure-low-latency.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CEEHQ38yfip7ImA9WhBSEUQ.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-6944509549924190487</id><published>2013-02-18T05:03:00.001-08:00</published><updated>2013-02-18T05:03:52.196-08:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-02-18T05:03:52.196-08:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="industry" /><title>So, what's brewing with HCatalog</title><content type="html">Apache HCatalog announced release of version 0.5.0 in the past week. Along with that, it has initiated steps to graduate from an incubator project to be an Apache Top Level project...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/ryVXrAj6g3Y" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/6944509549924190487/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=6944509549924190487&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6944509549924190487?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/6944509549924190487?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/ryVXrAj6g3Y/so-whats-brewing-with-hcatalog.html" title="So, what's brewing with HCatalog" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-lN3KeZtd6lQ/USIlM-L8pQI/AAAAAAAAA2E/81gbwSwCz1Y/s72-c/TempletonArch.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/02/so-whats-brewing-with-hcatalog.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CUMBQHszcSp7ImA9WhBUFUU.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-1756808830507962433</id><published>2013-02-12T09:31:00.002-08:00</published><updated>2013-05-03T05:17:31.589-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-03T05:17:31.589-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="solutions" /><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>Data deduplication tactics with HDFS and MapReduce</title><content type="html">As the
amount of data continues to grow exponentially, there has been increased focus
on stored data reduction methods. Data compression, single instance store and
data deduplication are among the...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/iTpam0uKuls" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/1756808830507962433/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=1756808830507962433&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/1756808830507962433?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/1756808830507962433?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/iTpam0uKuls/data-de-duplication-tactics-with-hdfs.html" title="Data deduplication tactics with HDFS and MapReduce" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://4.bp.blogspot.com/-QJRiwm_j1W0/URp6F8lmkyI/AAAAAAAAA1E/gUHgFWpyc2w/s72-c/hadoop_dedup.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/02/data-de-duplication-tactics-with-hdfs.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CE8BRXY8fCp7ImA9WhBUFUU.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-5696531585882967606</id><published>2013-02-04T06:03:00.000-08:00</published><updated>2013-05-03T05:07:34.874-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-03T05:07:34.874-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="vendors" /><title>Hadoop is hot, Cloudera is 'sexy'</title><content type="html">So,
you heard it… Cloudera was the runner-up in ‘Sexiest Enterprise Startup’
category of The Crunchies. The awards were co-hosted by GigaOm,&amp;nbsp;VentureBeat&amp;nbsp;and&amp;nbsp;TechCrunch
and aimed to...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/4sspvhd97eE" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/5696531585882967606/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=5696531585882967606&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/5696531585882967606?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/5696531585882967606?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/4sspvhd97eE/hadoop-is-hot-cloudera-is-sexy.html" title="Hadoop is hot, Cloudera is 'sexy'" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://4.bp.blogspot.com/-5QW9EuVvFOs/UQ-8a_Dkb3I/AAAAAAAAA0c/1ta9uoD02As/s72-c/ID-10067084.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/02/hadoop-is-hot-cloudera-is-sexy.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CE8CSX04cSp7ImA9WhBUFUU.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-517897194225930761</id><published>2013-01-30T04:17:00.001-08:00</published><updated>2013-05-03T05:07:48.339-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-03T05:07:48.339-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>5 online tools in data visualization playground</title><content type="html">While
building up an analytics dashboard, one of the major decision points is
regarding the type of charts and graphs that would provide better insight into
the data. To avoid a lot of re-work later,...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/UoY0Yn4hcBM" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/517897194225930761/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=517897194225930761&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/517897194225930761?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/517897194225930761?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/UoY0Yn4hcBM/5-online-tools-in-data-visualization.html" title="5 online tools in data visualization playground" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://3.bp.blogspot.com/-Ytfrh1IfjWY/UQkSMhoTRuI/AAAAAAAAAzM/zHZ29aM5a70/s72-c/manyeyes.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/01/5-online-tools-in-data-visualization.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CUUMRHoycCp7ImA9WhBUFUU.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-4103988889356840741</id><published>2013-01-23T05:00:00.000-08:00</published><updated>2013-05-03T05:14:45.498-07:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-05-03T05:14:45.498-07:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="solutions" /><category scheme="http://www.blogger.com/atom/ns#" term="architecture" /><title>Security Architecture for Apache Hadoop</title><content type="html">Through
the years, there has been a clamor and need expressed for robust Apache Hadoop
security framework. Considering the massive amount of data that nodes hold,
there is an increasing need to focus...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/Wz9j3OkBnto" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/4103988889356840741/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=4103988889356840741&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/4103988889356840741?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/4103988889356840741?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/Wz9j3OkBnto/security-architecture-for-apache-hadoop.html" title="Security Architecture for Apache Hadoop" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://1.bp.blogspot.com/-EDgfG1-VEag/UP_dhvIgEXI/AAAAAAAAAw8/DDG16Ar49TU/s72-c/security-hadoop.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/01/security-architecture-for-apache-hadoop.html</feedburner:origLink></entry><entry gd:etag="W/&quot;CU4AR304cCp7ImA9WhNbEUU.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-2672156459549776764</id><published>2013-01-14T09:15:00.001-08:00</published><updated>2013-01-14T09:19:06.338-08:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-01-14T09:19:06.338-08:00</app:edited><category scheme="http://www.blogger.com/atom/ns#" term="learn" /><title>Revisiting the physician - Hadoop Vaidya</title><content type="html">Performance Management is one of
the major grey areas that most teams encounter with Apache Hadoop environment. Among
the earliest tools to monitor performance has been Hadoop Vaidya, available as a...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/bdefFv86hWA" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/2672156459549776764/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=2672156459549776764&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/2672156459549776764?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/2672156459549776764?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/bdefFv86hWA/revisiting-physician-hadoop-vaidya.html" title="Revisiting the physician - Hadoop Vaidya" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://2.bp.blogspot.com/-tc-4OFCBems/UDOJkQrwigI/AAAAAAAAARQ/KrYXQSxIebk/s72-c/elephant_stethoscope.jpg" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/01/revisiting-physician-hadoop-vaidya.html</feedburner:origLink></entry><entry gd:etag="W/&quot;D0EFQ3Y_eCp7ImA9WhNUF0g.&quot;"><id>tag:blogger.com,1999:blog-2868824907842590784.post-3556375231483962839</id><published>2013-01-09T09:59:00.000-08:00</published><updated>2013-01-09T10:20:12.840-08:00</updated><app:edited xmlns:app="http://www.w3.org/2007/app">2013-01-09T10:20:12.840-08:00</app:edited><title>Big Data forecast digest for 2013 – predictions from Who's Who of industry</title><content type="html">“Predicting
the future is … a custom in our industry around this time of the year, and we
won’t dodge it.”
How apt is this comment from Yves de Montcheuil, VP (Marketing) Talend as it sums up the...&lt;br/&gt;
&lt;br/&gt;
&lt; Please visit hadoopsphere.com to read the full post &gt;&lt;img src="http://feeds.feedburner.com/~r/hadoopsphere/Cfpe/~4/biJoZlhy60U" height="1" width="1"/&gt;</content><link rel="replies" type="application/atom+xml" href="http://www.hadoopsphere.com/feeds/3556375231483962839/comments/default" title="Post Comments" /><link rel="replies" type="text/html" href="http://www.blogger.com/comment.g?blogID=2868824907842590784&amp;postID=3556375231483962839&amp;isPopup=true" title="0 Comments" /><link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/3556375231483962839?v=2" /><link rel="self" type="application/atom+xml" href="http://www.blogger.com/feeds/2868824907842590784/posts/default/3556375231483962839?v=2" /><link rel="alternate" type="text/html" href="http://feedproxy.google.com/~r/hadoopsphere/Cfpe/~3/biJoZlhy60U/big-data-forecast-digest-for-2013.html" title="Big Data forecast digest for 2013 – predictions from Who's Who of industry" /><author><name>Desk Editor</name><email>noreply@blogger.com</email><gd:image rel="http://schemas.google.com/g/2005#thumbnail" width="16" height="16" src="http://img2.blogblog.com/img/b16-rounded.gif" /></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://1.bp.blogspot.com/-zkBZLlCXnlQ/UO20yvCzFsI/AAAAAAAAAwY/b_WI2CpIGSY/s72-c/2013-look-ahead.png" height="72" width="72" /><thr:total>0</thr:total><feedburner:origLink>http://www.hadoopsphere.com/2013/01/big-data-forecast-digest-for-2013.html</feedburner:origLink></entry></feed>
