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		<title>Google Alert &#8211; mapreduce</title>
		<link>http://geeks2men.wordpress.com/2010/01/28/google-alert-mapreduce-7/</link>
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		<pubDate>Thu, 28 Jan 2010 17:20:54 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
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		<description><![CDATA[Notes about Hadoop « I&#8217;m just a simple DBA on a complex production &#8230; By prodlife It is more similar to an operating system: Hadoop has a file system (HDFS) and a job scheduler (Map-Reduce). Both are distributed. You can load any kind of data into Hadoop. It is quite popular – the last Hadoop [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=14&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://prodlife.wordpress.com/2010/01/27/notes-about-hadoop/&amp;ct=ga&amp;cd=vSLjXAfrFz4&amp;usg=AFQjCNGaTrmaSaAeLQ51OEeMMr0xsl5vpg"> Notes about Hadoop « I&#8217;m just a simple DBA on a complex production <strong>&#8230;</strong></a><br />
By prodlife<br />
It is more similar to an operating system: Hadoop has a file system (HDFS) and a job scheduler (<strong>Map-Reduce</strong>). Both are distributed. You can load any kind of data into Hadoop. It is quite popular – the last Hadoop Summit had 750 attendees <strong>&#8230;</strong><br />
<a href="http://prodlife.wordpress.com/" title="http://prodlife.wordpress.com/"> I&#8217;m just a simple DBA on a complex&#8230; &#8211; http://prodlife.wordpress.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://blog.sematext.com/2010/01/27/hbase-digest-january-2010/&amp;ct=ga&amp;cd=vSLjXAfrFz4&amp;usg=AFQjCNEAeOBBSMulWwuvp700_AI2AZpLnA"> HBase Digest, January 2010 « Sematext Blog</a><br />
By abaranau<br />
<strong>&#8230;</strong> Cloud <strong>MapReduce</strong> faster/smaller/simpler than Hadoop <strong>MapReduce</strong> &#8211; <a href="http://code.google.com/p/cloudmapreduce/">http://code.google.com/p/cloudmapreduce/</a> but ec2-specific #hadoop #<strong>mapreduce</strong> 6 days ago; Java 6 update 18 is out &#8211; lots of GC and HotSpot fixes and improvements <strong>&#8230;</strong><br />
<a href="http://blog.sematext.com/" title="http://blog.sematext.com/"> Sematext Blog &#8211; http://blog.sematext.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.topviewed.info/2010/01/couchdb-definitive-guide.html&amp;ct=ga&amp;cd=vSLjXAfrFz4&amp;usg=AFQjCNGUG0cBDBihMaMnjyIAhArn1d98pA"> The Ebooks Nest : Free Ebooks Download: CouchDB: The Definitive Guide</a><br />
By sruthin<br />
Interact with CouchDB entirely though HTTP using its RESTful interface * Model data as self-contained JSON documents * Handle evolving data schemas naturally * Query and aggregate data in CouchDB using <strong>MapReduce</strong> views <strong>&#8230;</strong><br />
<a href="http://www.topviewed.info/" title="http://www.topviewed.info/"> The Ebooks Nest : Free Ebooks Download &#8211; http://www.topviewed.info/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://blog.pfa-labs.com/2010/01/unit-testing-hadoop-wordcount-example.html&amp;ct=ga&amp;cd=vSLjXAfrFz4&amp;usg=AFQjCNFniR7W46Z0HXqCaFW7VVOpMRLBYw"> a little something something&#8230;: Unit Testing the Hadoop WordCount <strong>&#8230;</strong></a><br />
By Alex Parvulescu<br />
This will provide you with means to start and stop a mini-HDFS and a mini-<strong>MapReduce</strong> cluster, in other words, everything you need to run your tests locally. Let me run that by you again, because for me it was not all that clear at the <strong>&#8230;</strong><br />
<a href="http://blog.pfa-labs.com/" title="http://blog.pfa-labs.com/"> a little something something&#8230; &#8211; http://blog.pfa-labs.com/</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://mail-archives.apache.org/mod_mbox/hadoop-general/201001.mbox/%253C25503BF5-32A5-4A0D-BB0A-5CD34D5F163A%40apache.org%253E&amp;ct=ga&amp;cd=vSLjXAfrFz4&amp;usg=AFQjCNGVJ53pGj-2MZdH9PpfyYJ1U008cQ"> Re: avro in <strong>mapreduce</strong></a><br />
Getting Avro types passing through <strong>MapReduce</strong> is a good goal. &gt; &gt; I apologize for not seeing the issue before it was committed. I &gt; accept some of the blame <strong>&#8230;</strong></td>
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			<media:title type="html">Aohri</media:title>
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		<title>Google Alert &#8211; mapreduce</title>
		<link>http://geeks2men.wordpress.com/2010/01/27/google-alert-mapreduce-6/</link>
		<comments>http://geeks2men.wordpress.com/2010/01/27/google-alert-mapreduce-6/#comments</comments>
		<pubDate>Wed, 27 Jan 2010 17:28:51 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[Google News Alert for: mapreduce O&#8217;Reilly Radar Entries tagged with “machine-learning” from O&#8217;Reilly Radar O&#8217;Reilly Radar If you desire (near) real-time analysis, traditional SQL databases and MapReduce systems are batch-oriented (load all the data, then analyze), and might not &#8230; Google Blogs Alert for: mapreduce Cloud MapReduce « DECISION STATS By Ajay Ohri Cloud MapReduce [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=13&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Google News Alert for: <strong>mapreduce</strong></p>
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<td align="center"><a href="http://www.google.com/url?sa=X&amp;q=http://blogs.oreilly.com/cgi-bin/mt/mt-search.cgi%3Fblog_id%3D57%26tag%3Dmachine-learning%26limit%3D20%26IncludeBlogs%3D57&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNEtKZDDLBqVsbXEOhqtvW4EE0aV6w">O&#8217;Reilly Radar</a></td>
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<p><a href="http://www.google.com/url?sa=X&amp;q=http://blogs.oreilly.com/cgi-bin/mt/mt-search.cgi%3Fblog_id%3D57%26tag%3Dmachine-learning%26limit%3D20%26IncludeBlogs%3D57&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNEtKZDDLBqVsbXEOhqtvW4EE0aV6w"> Entries tagged with “machine-learning” from O&#8217;Reilly Radar</a><br />
O&#8217;Reilly Radar<br />
If you desire (near) real-time analysis, traditional SQL databases and <strong>MapReduce</strong> systems are batch-oriented (load all the data, then analyze), and might not <strong>&#8230;</strong></td>
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<p>Google Blogs Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://decisionstats.wordpress.com/2010/01/17/cloud-mapreduce/&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNEwDs9wMEutE_V1bIuK03gJYDq_pw"> Cloud <strong>MapReduce</strong> « DECISION STATS</a><br />
By Ajay Ohri<br />
Cloud <strong>MapReduce</strong> was initially developed at Accenture Technology Labs. It is a <strong>MapReduce</strong> implementation on top of the Amazon Cloud OS. By exploiting a cloud OS&#8217;s scalability, Cloud <strong>MapReduce</strong> achieves three primary advantages over other <strong>&#8230;</strong><br />
<a href="http://decisionstats.wordpress.com/" title="http://decisionstats.wordpress.com/"> DECISION STATS &#8211; http://decisionstats.wordpress.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://computer-yocher.blogspot.com/2010/01/re-sage-devel-proposal-to-remove-dsage_18.html&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNF2LkX_qaPNYBVXkeS1aj5hw1fGyw"> computer: Re: [sage-devel] proposal to remove dsage from sage</a><br />
By computer<br />
Running on a small home-brew cluster should a) fall outside of Sage&#8217;s scope, and b) use existing libraries rather than home-cooked to a much larger extent than DSage does (use OpenMPI or Google&#8217;s <strong>Map/Reduce</strong> or something in-between). <strong>&#8230;</strong><br />
<a href="http://computer-yocher.blogspot.com/" title="http://computer-yocher.blogspot.com/"> computer &#8211; http://computer-yocher.blogspot.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://arifn.web.id/blog/2010/01/18/research-plan.html&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNGS3W_TvrWKKcWuZwW-liqv6NIZoA"> Research Plan | sidudun</a><br />
By sidudun<br />
I want to explore <strong>MapReduce</strong>, a programming model for processing a large scale of data in a distributed environment. I heard about this model from some mailing lists and websites, surprised that the paper [pdf], the lecture notes and <strong>&#8230;</strong><br />
<a href="http://arifn.web.id/blog/" title="http://arifn.web.id/blog/"> sidudun &#8211; http://arifn.web.id/blog/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://highscalability.com/blog/2010/1/17/applications-become-black-boxes-using-markets-to-scale-and-c.html&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNHmQTAKRn2SDFWZpW_LWo8VYSoIGA"> High Scalability &#8211; High Scalability &#8211; Applications Become Black <strong>&#8230;</strong></a><br />
By Todd Hoff<br />
A smart grid rents their backend sensor cluster for a <strong>map-reduce</strong> job that works very well on underpowered CPUs. A queue service offers a good price for reliable low latency queuing so some of your queue load is offloaded to that service <strong>&#8230;</strong><br />
<a href="http://highscalability.com/" title="http://highscalability.com/"> High Scalability &#8211; http://highscalability.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://mawdo.blogspot.com/2010/01/googles-app-engine.html&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNEPEbwy9jzG8ABrmmXXg3u5-Rdmtw"> app expressions: Google&#8217;s App Engine</a><br />
By Gary Mawdsley<br />
There are a number of useful peripheral services like CloudFront and <strong>Map Reduce</strong>. In amazon&#8217;s model the app is deployed atop of an VMWare style machine image. We can deploy Ruby and JVM based apps there within a few minutes &#8211; more over <strong>&#8230;</strong><br />
<a href="http://mawdo.blogspot.com/" title="http://mawdo.blogspot.com/"> app expressions &#8211; http://mawdo.blogspot.com/</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://kenai.com/projects/xindicate/forums/message-forum/topics/2266-Key-value-stores-and-MapReduce&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNEQFQq_quL-Jy7h0b4wNXE1VkDv5Q"> Xindicate PDM: Message Forum: Key-value stores and <strong>MapReduce</strong> <strong>&#8230;</strong></a><br />
Secondly, Google&#8217;s <strong>MapReduce</strong> framework begs for some attention, and there is a number of resources available to study at Google Code University: <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://old.nabble.com/-jira--Created:-(MAHOUT-237)-Map-Reduce-Implementation-of-Document-Vectorizer-td27022923.html&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNFKLBNGOU9StfZqvR9d_lmqBiDzmw"> Nabble &#8211; Mahout Developer List &#8211; [jira] Created: (MAHOUT-237) <strong>Map</strong> <strong>&#8230;</strong></a><br />
[jira] Created: (MAHOUT-237) <strong>Map/Reduce</strong> Implementation of Document Vectorizer. <strong>&#8230;</strong> This is a pure bag-of-words based Vectorizer written in <strong>Map/Reduce</strong>. <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://developer.amazonwebservices.com/connect/thread.jspa%3FmessageID%3D160992%26tstart%3D0&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNEEVyDYdJ-Njp0Zvm6uY88RL7-qRw"> Amazon Web Services Developer Community : flakyness accessing <strong>&#8230;</strong></a><br />
Thread: flakyness accessing <strong>mapreduce</strong> service <strong>&#8230;</strong> flakyness accessing <strong>mapreduce</strong> service. Posted: Jan 9, 2010 4:46 PM PST <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.ramonchen.com/%3Fp%3D2075&amp;ct=ga&amp;cd=emN1Ys0iYKM&amp;usg=AFQjCNF6g9R_T3q8brI2zZVHhu4giyZJag"> Ramon Chen: Cloud &#8216;N Clear « Parallel DBMS&#8217;, Hadoop and <strong>MapReduce</strong> <strong>&#8230;</strong></a><br />
This new recently published article <strong>MapReduce</strong> and Parallel DBMS, Friends or Foe? is an excellent read and reminded me of one of my earlier posts around <strong>&#8230;</strong></td>
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			<media:title type="html">Aohri</media:title>
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		<title>Google Alert &#8211; mapreduce</title>
		<link>http://geeks2men.wordpress.com/2010/01/27/google-alert-mapreduce-5/</link>
		<comments>http://geeks2men.wordpress.com/2010/01/27/google-alert-mapreduce-5/#comments</comments>
		<pubDate>Wed, 27 Jan 2010 17:28:33 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[Google Blogs Alert for: mapreduce qizmt – C# MapReduce from MySpace « Polymath Aspirations By Terence The HornGet Project: Bringing “apt-get install” to .NET Projects – Billy McCafferty – Devlicio.us – Just the Tasty Bits · DL Myspace MapReduce ». qizmt – C# MapReduce from MySpace. By Terence. qizmt – Project Hosting on Google Code. [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=12&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Google Blogs Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://polymathaspirations.wordpress.com/2010/01/16/qizmt-c-mapreduce-from-myspace/&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNHCOnH2ZUePj_0djeE7eLPNrfDRsA"> qizmt – C# <strong>MapReduce</strong> from MySpace « Polymath Aspirations</a><br />
By Terence<br />
The HornGet Project: Bringing “apt-get install” to .NET Projects – Billy McCafferty – Devlicio.us – Just the Tasty Bits · DL Myspace <strong>MapReduce</strong> ». qizmt – C# <strong>MapReduce</strong> from MySpace. By Terence. qizmt – Project Hosting on Google Code. <strong>&#8230;</strong><br />
<a href="http://polymathaspirations.wordpress.com/" title="http://polymathaspirations.wordpress.com/"> Polymath Aspirations &#8211; http://polymathaspirations.wordpress.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://ebookz.ir/Computers_and_Internet/Beginning_CouchDB.html&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNHjVI6-Oj85uUekPC8agkafZc1NQg"> Ebookz.ir-The world leading online source of ebooks-Free</a><br />
By admin<br />
Intermediate CouchDB concepts, including views, the REST API, JSON, <strong>map/reduce</strong>, load balancing, replication, and scalability. How to develop full CouchDB applications to get the reader up and running with CouchDB development as quickly <strong>&#8230;</strong><br />
<a href="http://ebookz.ir/" title="http://ebookz.ir/"> Powered by Ebookz.ir &#8211; http://ebookz.ir/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://seiftopia.wordpress.com/2010/01/15/apress-beginning-couchdb/&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNGOsgTVyNr4zx1QjbQnnxH_O65FXg"> Apress – Beginning CouchDB « Seif Sallam&#8217;s Blog</a><br />
By Seif Sallam<br />
The book helped me understand Views and how to use <strong>Map/Reduce</strong> to get data, also made me see the difference between SQL and Key/Value database systems, and so many other stuff. Also i learned new stuff like using CURL, and practice some <strong>&#8230;</strong><br />
<a href="http://seiftopia.wordpress.com/" title="http://seiftopia.wordpress.com/"> Seif Sallam&#8217;s Blog &#8211; http://seiftopia.wordpress.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://tfdml.blogspot.com/2010/01/new-years-python-meme.html&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNG3FNkbs-fZhcwpHnCgy2q912CqwQ"> Strange Adventures in Infinite Space: New Years Python Meme</a><br />
By Turd Flop Down M&#8217;leg<br />
Hadoop and <strong>map/reduce</strong>. I&#8217;m already familiar with the concepts, but I&#8217;d like to get some actual experience with it; pyGTK and pyGame. I&#8217;d really like to get into gui programming.. even tho cli rules. Ctypes.. I&#8217;ve been meaning to read up <strong>&#8230;</strong><br />
<a href="http://tfdml.blogspot.com/" title="http://tfdml.blogspot.com/"> Strange Adventures in Infinite Space &#8211; http://tfdml.blogspot.com/</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://github.com/apache/hadoop-mapreduce/tree/8f9b630db2a2a7250970e2810a49d6bba1d370e0&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNHn2XD4nkLaiQCZlhHaPdxJBI5sWA"> apache&#8217;s hadoop-<strong>mapreduce</strong> at <strong>&#8230;</strong></a><br />
Mirror of Apache Hadoop <strong>MapReduce</strong> — Read more <strong>&#8230;</strong> <strong>MAPREDUCE</strong>-1310. CREATE TABLE statements for Hive do not correctly specify delimiters. <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://stackoverflow.com/questions/2071015/error-in-using-hadoop-mapreduce-in-eclipse&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNE8a4wTB-PFQxjRV2w1SeJM8RqTyg"> Error in using Hadoop <strong>MapReduce</strong> in Eclipse &#8211; Stack Overflow</a><br />
When I executed a <strong>MapReduce</strong> program in Eclipse using Hadoop, I got the below error. It has to be some change in path, but I&#8217;m not able to figure it out. <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://vodpod.com/watch/2788787-mapreduce-case-study-fraud-detection&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNF-1em_eM45YfKI9fwp-O17w0FbpQ"> <strong>MapReduce</strong> Case Study &#8211; Fraud Detection Video</a><br />
Watch <strong>MapReduce</strong> Case Study &#8211; Fraud Detection and hundreds of other videos about tech, <strong>mapreduce</strong>, hadoop, asterdata, aster data, online gaming, <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://groups.google.com/group/mongodb-user/browse_thread/thread/1dbd2aaeae27bcb6&amp;ct=ga&amp;cd=4EG4HBNwMQY&amp;usg=AFQjCNGaKXlp_NL6T6GYoFiv6uLXx-F5qw"> master/slave with <strong>mapreduce</strong> and update &#8211; mongodb-user | Google Groups</a><br />
I use <strong>map/reduce</strong> to process these data. During the <strong>map/reduce</strong> process I update some <strong>&#8230;</strong> My question is if I run the <strong>map/reduce</strong> process on the slave will my <strong>&#8230;</strong></td>
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		<title>Google Alert &#8211; mapreduce</title>
		<link>http://geeks2men.wordpress.com/2010/01/27/google-alert-mapreduce-4/</link>
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		<pubDate>Wed, 27 Jan 2010 17:27:52 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
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		<description><![CDATA[Google News Alert for: mapreduce SYS-CON Media (press release) 25 Years of Big Data: From SQL To The Cloud SYS-CON Media (press release) Their solution was to adopt a simple parallel programming framework, MapReduce, in place of SQL. MapReduce and its open source version Hadoop are now widely &#8230; See all stories on this topic [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=11&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Google News Alert for: <strong>mapreduce</strong></p>
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<td align="center"><a href="http://www.google.com/url?sa=X&amp;q=http://dotnet.sys-con.com/node/1246895&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNHwrJvb4PxsidywE-8aSFXZvKlwug">SYS-CON Media (press release)</a></td>
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<p><a href="http://www.google.com/url?sa=X&amp;q=http://dotnet.sys-con.com/node/1246895&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNHwrJvb4PxsidywE-8aSFXZvKlwug"> 25 Years of Big Data: From SQL To The Cloud</a><br />
SYS-CON Media (press release)<br />
Their solution was to adopt a simple parallel programming framework, <strong>MapReduce</strong>, in place of SQL. <strong>MapReduce</strong> and its open source version Hadoop are now widely <strong>&#8230;</strong><br />
<a href="http://news.google.com/news/story?ncl=http://dotnet.sys-con.com/node/1246895&amp;hl=en"> See all stories on this topic</a></td>
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<p>Google Blogs Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://cloudcomputing.sys-con.com/node/1246895&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNH_W2nYEXWbUY5t_Q05fAzo4UnLTg"> 25 Years of Big Data: From SQL To The Cloud | Cloud Computing Journal</a><br />
If SQL was the first generation Big Data tool, and <strong>MapReduce</strong>/Hadoop was the second generation tool, what might a third generation tool look like? To answer this, we need to look at the areas in which <strong>MapReduce</strong>/Hadoop are weak &#8211; those <strong>&#8230;</strong><br />
<a href="http://cloudcomputing.sys-con.com/" title="http://cloudcomputing.sys-con.com/"> Latest News from Cloud Computing Journal &#8211; http://cloudcomputing.sys-con.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://db-optimizer.blogspot.com/2010/01/hadoop.html&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNFAqjvPK72Byx6UHcFTIiZ4aFkaSg"> DB Optimizer: Hadoop</a><br />
By Kyle Hailey<br />
For certain workloads, <strong>MapReduce</strong> and Hadoop can outperform even the most expensive commercial RDBMS software and associated hardware &#8211; and can do so using much cheaper commodity hardware, and without expensive software licenses. <strong>&#8230;</strong><br />
<a href="http://db-optimizer.blogspot.com/" title="http://db-optimizer.blogspot.com/"> DB Optimizer &#8211; http://db-optimizer.blogspot.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://domfarr.blogspot.com/2010/01/mapreduce-in-groovy.html&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNFMkeucQTl-lNa95tc4xi28uKdiKA"> Electric Politician: <strong>MapReduce</strong> In Groovy</a><br />
By Dom Farr<br />
I came across an old post on Joel on Software about <strong>MapReduce</strong> and functions as first class citizens. You can read it here. I thought I&#8217;d have a go at doing the examples in Groovy. I know these examples have been abstraction already in <strong>&#8230;</strong><br />
<a href="http://domfarr.blogspot.com/" title="http://domfarr.blogspot.com/"> Electric Politician &#8211; http://domfarr.blogspot.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://blog.tech.stylefeeder.com/2010/01/14/hadoop-for-the-lone-analyst/&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNHLZ6yDVBjxCVJHLuvipQYmgFOl2g"> HADOOP FOR THE LONE ANALYST, WHY AND HOW | StyleFeeder Tech Blog</a><br />
By Ben Clark<br />
The Sqoop (sql-to-hadoop) project (in the contrib area of <strong>mapreduce</strong>) provides ways to do this with both jdbc and mysqldump, if you have a running MySQL instance. You could certainly get Sqoop to do what we did, but we actually went <strong>&#8230;</strong><br />
<a href="http://blog.tech.stylefeeder.com/" title="http://blog.tech.stylefeeder.com/"> StyleFeeder Tech Blog &#8211; http://blog.tech.stylefeeder.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://radlab.cs.berkeley.edu/wiki/Highlights&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNEsSr2zbVyi0CjQWj0s9pAnMaYXsg"> Highlights &#8211; RAD Lab</a><br />
By Fox<br />
RAIN, Spikes, statistical <strong>map-reduce</strong>, are all different ways of dealing with workload modeling/scheduling; what happens if combined? Lots of passive log collection/analysis, why no active probing? HP has done some work on this in the <strong>&#8230;</strong><br />
<a href="http://radlab.cs.berkeley.edu/wiki/Special:Recentchanges" title="http://radlab.cs.berkeley.edu/wiki/Special:Recentchanges"> RAD Lab &#8211; Recent changes [en] &#8211; http://radlab.cs.berkeley.edu/wiki/Special:Recentchanges</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.itworld.com/saas/91099/first-look-amazon-brings-mapreduce-elastic-cloud&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNGG2BGjyJ4oCSnGNoHK_fjcb9LDAw"> First look: Amazon brings <strong>MapReduce</strong> to the Elastic Cloud | ITworld</a><br />
Based on Hadoop, <strong>MapReduce</strong> equips users with potent distributed data-processing tools.</td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://stackoverflow.com/questions/2059728/is-mapreduce-right-for-me&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNHHqDjzj0gKA4t2l7QYEUC7_JobhQ"> Is <strong>MapReduce</strong> right for me? &#8211; Stack Overflow</a><br />
I am working on a project that deals with analyzing a very large amount of <strong>&#8230;</strong> <strong>MapReduce</strong> is good for scaling the processing of large datasets, <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.thestandard.com/news/2009/12/31/first-look-amazon-brings-mapreduce-elastic-cloud&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNFg4Hh-ZhKycD7flh90zr68RsKuOw"> First look: Amazon brings <strong>MapReduce</strong> to the Elastic Cloud | The <strong>&#8230;</strong></a><br />
Have you got a few hundred gigabytes of data that need processing? Perhaps a dump of radio telescope data that could use some combing through by a squad of <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://agilecat.wordpress.com/category/mapreduce/&amp;ct=ga&amp;cd=6TNdHrRMAKU&amp;usg=AFQjCNEHfmEicvzhGM5scI48nwFzZfZpMw"> <strong>MapReduce</strong> &laquo; Agile Cat &mdash; Azure &amp; Hadoop &mdash; Talking Book</a><br />
Twitter で、#Hadoop, #<strong>MapReduce</strong>, #NoSQL などのタグを見ていると、こんな情報が 飛び交っていて、すご〜〜〜い ギャップを感じてしまいますね。 <strong>&#8230;</strong></td>
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		<title>Google Alert &#8211; mapreduce</title>
		<link>http://geeks2men.wordpress.com/2010/01/27/google-alert-mapreduce-3/</link>
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		<pubDate>Wed, 27 Jan 2010 17:27:20 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
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		<title>Google Alert &#8211; mapreduce</title>
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		<pubDate>Wed, 27 Jan 2010 17:26:52 +0000</pubDate>
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		<description><![CDATA[Google News Alert for: mapreduce Excel Meets The Cloud SYS-CON Media (press release) By Bill McColl Faced with this information explosion, experienced programmers are now using parallel processing tools such as MapReduce/Hadoop, &#8230; See all stories on this topic Enhanced Financial Applications for Clients of National Bank Direct Brokerage &#8230; SYS-CON Media (press release) Faced [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=9&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Google News Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://cloudcomputing.sys-con.com/node/1243218&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNG51CWfteiTofCCdKp6SutnGapltQ"> Excel Meets The Cloud</a><br />
SYS-CON Media (press release)<br />
By Bill McColl Faced with this information explosion, experienced programmers are now using parallel processing tools such as <strong>MapReduce</strong>/Hadoop, <strong>&#8230;</strong><br />
<a href="http://news.google.com/news/story?ncl=http://cloudcomputing.sys-con.com/node/1243218&amp;hl=en"> See all stories on this topic</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://ajax.sys-con.com/node/1242783&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNGN7lZJs-wS5cr6q4EMRYY1K_XR3Q"> Enhanced Financial Applications for Clients of National Bank Direct Brokerage <strong>&#8230;</strong></a><br />
SYS-CON Media (press release)<br />
Faced with this information explosion, experienced programmers are now using parallel processing tools such as <strong>MapReduce</strong>/Hadoop, rather than SQL databases, <strong>&#8230;</strong><br />
<a href="http://news.google.com/news/story?ncl=http://ajax.sys-con.com/node/1242783&amp;hl=en"> See all stories on this topic</a></td>
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<p>Google Blogs Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.websdeveloper.com/map-reduce-how-cool-is-that/&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNGa_FNS60r15AlibE3Yr9jfPb1d8A"> <strong>Map Reduce</strong> — How Cool is That? | Webs Developer</a><br />
By web slinger<br />
From time-to-time I hear a few mentions of <strong>MapReduce</strong>; up until recently, I avoided looking into it. This month&#8217;s CACM, however, is chock-full of <strong>MapReduce</strong>.<br />
<a href="http://www.websdeveloper.com/" title="http://www.websdeveloper.com/"> Webs Developer &#8211; http://www.websdeveloper.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://cloudcomputing.sys-con.com/node/1242600&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNFUKfdpmmlbY-kTEJ9_J5-77UP1_g"> Oracle to Present at the Largest Cloud Computing Event in the <strong>&#8230;</strong></a><br />
Faced with this information explosion, experienced programmers are now using parallel processing tools such as <strong>MapReduce</strong>/Hadoop, rather than SQL databases, to analyze large repositories of stored, historical data. <strong>&#8230;</strong><br />
<a href="http://cloudcomputing.sys-con.com/" title="http://cloudcomputing.sys-con.com/"> Latest News from Cloud Computing Journal &#8211; http://cloudcomputing.sys-con.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://dbworld.lukasblunschi.ch/blog/%3Fp%3D6778&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNEd6DMG3XH2ZHty8pT87R0NMRT1OA"> DbWorld » Blog Archive » [Dbworld] CFP: WWW 2010 International <strong>&#8230;</strong></a><br />
By admin<br />
based on <strong>MapReduce</strong>, use racks of commodity servers with locally attached storage and are able to scale out quickly at low cost. In general, there is a need to assemble resources on demand – the motivation for Cloud Computing. <strong>&#8230;</strong><br />
<a href="http://dbworld.lukasblunschi.ch/blog/" title="http://dbworld.lukasblunschi.ch/blog/"> DbWorld &#8211; http://dbworld.lukasblunschi.ch/blog/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://jccavalcanti.wordpress.com/2010/01/12/advanced-analytics-predictions-for-2010/&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNH_WirlZ1OaCF2yEdNvTZQJv4H10Q"> Advanced Analytics Predictions For 2010 « JCC.COM</a><br />
By jccavalcanti<br />
To support heterogeneous interoperability for in-database and in-cloud analytics, open development frameworks– especially <strong>MapReduce</strong> and Hadoop—will be adopted broadly by data warehousing and analytics tools vendors. In the coming year, <strong>&#8230;</strong><br />
<a href="http://jccavalcanti.wordpress.com/" title="http://jccavalcanti.wordpress.com/"> JCC.COM &#8211; http://jccavalcanti.wordpress.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://codecollaboration.com/874970-Twitter-Tweets-about-Programming-as-of-January-12-2010.html&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNGI7zkK2u2bwBfirk90s7avg15voA"> Code Collaboration Twitter Tweets about Programming as of January <strong>&#8230;</strong></a><br />
timekord: Reading about <strong>MapReduce</strong> <a href="http://bit.ly/8UDuIC">http://bit.ly/8UDuIC</a> a programming framework useful to scale and cloud. 2010-01-12 · Reply · milfredd: it&#8217;s too fucken early for programming. bye. 2010-01-12 · Reply <strong>&#8230;</strong><br />
<a href="http://codecollaboration.com/" title="http://codecollaboration.com/"> Code Collaboration &#8211; http://codecollaboration.com/</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://articles.sfgate.com/2009-12-31/business/17465806_1_output-second-step-infrastructure&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNF-c4u-ujenp_WxVHZwX_W0_Q2OOw"> First look: Amazon brings <strong>MapReduce</strong> to the Elastic Cloud &#8211; SFGate</a><br />
2009-12-31 15:44:00 PST &#8212; Have you got a few hundred gigabytes of data that need processing? Perhaps a dump of radio telescope data that could use some <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.netuality.ro/hadoop_map_reduce_vs_dbms_benchmarks/articles/20100103&amp;ct=ga&amp;cd=YbR7f3fQtkg&amp;usg=AFQjCNEX1QDMFB-UvkYrrxJx0qaMZZvWYA"> Hadoop <strong>Map/Reduce</strong> versus DBMS, benchmarks at Netuality</a><br />
On the same 100-nodes RedHat cluster they compared Vertica (a well-known MPP), „ plain” Hadoop with custom-coded <strong>Map/Reduce</strong> tasks and an unnamed DBMS-X <strong>&#8230;</strong></td>
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		<title>MapReduce News</title>
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		<pubDate>Wed, 27 Jan 2010 17:26:24 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
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		<description><![CDATA[Google News Alert for: mapreduce SYS-CON Media (press release) Oracle to Present at the Largest Cloud Computing Event in the World SYS-CON Media (press release) He has a PhD in Parallel Systems from Cambridge University, where he built a system for processing massive data sets using a MapReduce framework. &#8230; See all stories on this [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=8&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Google News Alert for: <strong>mapreduce</strong></p>
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<td align="center"><a href="http://www.google.com/url?sa=X&amp;q=http://dotnet.sys-con.com/node/1242600&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNHUgpZiqfrbVeRvhQ9nwTgu5NUb8w">SYS-CON Media (press release)</a></td>
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<p><a href="http://www.google.com/url?sa=X&amp;q=http://dotnet.sys-con.com/node/1242600&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNHUgpZiqfrbVeRvhQ9nwTgu5NUb8w"> Oracle to Present at the Largest Cloud Computing Event in the World</a><br />
SYS-CON Media (press release)<br />
He has a PhD in Parallel Systems from Cambridge University, where he built a system for processing massive data sets using a <strong>MapReduce</strong> framework. <strong>&#8230;</strong><br />
<a href="http://news.google.com/news/story?ncl=http://dotnet.sys-con.com/node/1242600&amp;hl=en"> See all stories on this topic</a></td>
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<p>Google Blogs Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.conby.com/blog/2010/01/10/16-different-clones-you-can-build-with-drupal/&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNHnnp5z__IL7U8-0VD5kQkaNGzSpA"> 16 Different Clones You Can Build with Drupal | Key-value, <strong>Map</strong> <strong>&#8230;</strong></a><br />
By mikel<br />
Key-value, <strong>Map-reduce</strong> &amp; SEO. a key-value and <strong>map-reduce</strong> open source technical blog. « PHP HTTP post example. 16 Different Clones You Can <strong>&#8230;.</strong> Key-value, <strong>Map-reduce</strong> &amp; SEO is proudly powered by WordPress · Entries (RSS) and Comments (RSS).<br />
<a href="http://www.conby.com/blog/" title="http://www.conby.com/blog/"> Key-value, Map-reduce &amp; SEO &#8211; http://www.conby.com/blog/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.virtualizationpractice.com/blog/%3Fp%3D3809&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNE7A7JYlQx9J2M_w8ZkodTO78lQkA"> 2009 – the “Long View”: Hadoop and Cloudera | The Virtualization <strong>&#8230;</strong></a><br />
By Mike<br />
In the long term, 2009 is likely to be known as the year that a commercial framework emerged around the Open source Hadoop framework for <strong>map-reduce</strong>.<br />
<a href="http://www.virtualizationpractice.com/blog/" title="http://www.virtualizationpractice.com/blog/"> The Virtualization Practice &#8211; http://www.virtualizationpractice.com/blog/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://hotjobs.taragana.com/index.php/archive/technical-support-engineer-job-in-aster-san-carlos/&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNEFSROGk_VlktX9Nipnu1gXzQw__Q"> Technical Support Engineer job in Aster &#8211; San Carlos</a><br />
By raju<br />
Aster Data Systems located in San Carlos, Ca is a proven leader in high-performance analytic database systems for data warehousing &#8211; the first DBMS to tightly integrate SQL with <strong>MapReduce</strong> &#8211; providing deep insights on data analyzed on <strong>&#8230;</strong><br />
<a href="http://hotjobs.taragana.com/" title="http://hotjobs.taragana.com/"> Computer Jobs Blog &#8211; http://hotjobs.taragana.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.jonathanboutelle.com/mt/archives/2010/01/hadoophackday_w.html&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNFt4E83XPuTPvhB3j0hDO9wFe5thA"> HadoopHackDay was a major hit</a><br />
By jon<br />
-Elastic <strong>MapReduce</strong> (from Amazon) is a great way to quickly get started with hadoop (everyone was up and running in less than an hour, without installing anything on their laptops!). However, the versions of Hadoop and Pig that come with <strong>&#8230;</strong><br />
<a href="http://www.jonathanboutelle.com/" title="http://www.jonathanboutelle.com/"> Jonathan Boutelle&#8217;s home on the net &#8211; http://www.jonathanboutelle.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.eamonn.org/blog/%3Fp%3D613&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNHfb4ytYKUHlhDSALs0T6UbWy64Vg"> Eamonn O&#8217;Brien-Strain » How you might create a Scala matrix <strong>&#8230;</strong></a><br />
By eamonn<br />
The toStr returns a string representation of the matrix in a nice tabular format that is much easier to than the default toString method if List[List[Double]] , Note how this is done with two nested <strong>map / reduce</strong> pairs. <strong>&#8230;</strong><br />
<a href="http://www.eamonn.org/blog/" title="http://www.eamonn.org/blog/"> Eamonn O&#8217;Brien-Strain &#8211; http://www.eamonn.org/blog/</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://java.dzone.com/articles/map-reduce-how-cool%3Futm_source%3Dfeedburner%26utm_medium%3Dfeed%26utm_campaign%3DFeed%253A%2Bjavalobby%252Ffrontpage%2B(Javalobby%2B%252F%2BJava%2BZone)&amp;ct=ga&amp;cd=5ifgP5aBJtc&amp;usg=AFQjCNFath4bsQMNPcHYBqbphE3uaAnADA"> <strong>Map Reduce</strong></a></td>
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			<media:title type="html">Aohri</media:title>
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		<title>Google Alert &#8211; mapreduce</title>
		<link>http://geeks2men.wordpress.com/2010/01/27/google-alert-mapreduce/</link>
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		<pubDate>Wed, 27 Jan 2010 17:11:25 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[Google News Alert for: mapreduce Distributed data caches speed cloud applications SearchSOA He says that MapReduce, a method of analysis that divides a computation among several servers and then combines the results, can be more easily deployed &#8230; See all stories on this topic Google Blogs Alert for: mapreduce a little something something&#8230;: Troubleshooting the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=4&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Google News Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://searchsoa.techtarget.com/generic/0,295582,sid26_gci1379519,00.html&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNExLi6fPTZQzkoChRt6COikG7wo8A"> Distributed data caches speed cloud applications</a><br />
SearchSOA<br />
He says that <strong>MapReduce</strong>, a method of analysis that divides a computation among several servers and then combines the results, can be more easily deployed <strong>&#8230;</strong><br />
<a href="http://news.google.com/news/story?ncl=http://searchsoa.techtarget.com/generic/0,295582,sid26_gci1379519,00.html&amp;hl=en"> See all stories on this topic</a></td>
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<p>Google Blogs Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://blog.pfa-labs.com/2010/01/troubleshooting-hadoop-eclipse-plugin.html&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNFT8g17lnNdgZ5i3nY9cWNyw2Zs6Q"> a little something something&#8230;: Troubleshooting the Hadoop <strong>&#8230;</strong></a><br />
By Alex Parvulescu<br />
First thing: set the Hadoop install directory in Eclipse: just go to Window &#8211; Preferences &#8211; Hadoop <strong>Map/Reduce</strong> and fill in the field Hadoop installation directory with the proper path. The trouble starts when you try to add a new Hadoop <strong>&#8230;</strong><br />
<a href="http://blog.pfa-labs.com/" title="http://blog.pfa-labs.com/"> a little something something&#8230; &#8211; http://blog.pfa-labs.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.royans.net/arch/hive-facebook/%3Futm_source%3Drss%26utm_medium%3Drss%26utm_campaign%3Dhive-facebook&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNEygl5EDhyCnhcB8Lj7bvLlxdt9uQ"> Hive @Facebook | Scalable web architectures</a><br />
By Royans<br />
It was this, that eventually forced Facebook, to build a new way of querying data from Hadoop which doesn&#8217;t require writing <strong>map-reduce</strong> jobs in java. That quickly lead to the development of hive, which does exactly what it was set out to <strong>&#8230;</strong><br />
<a href="http://www.royans.net/arch/" title="http://www.royans.net/arch/"> Scalable web architectures &#8211; http://www.royans.net/arch/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.roadtofailure.com/2010/01/25/logging-unsexy-important-and-now-usable/&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNHNH541Q_N5a4lsFidL_zI5IYG0zQ"> Logging: Unsexy, Important, and now Usable. | Road to Failure</a><br />
By Bradford<br />
Send alerts when something looks “strange”; Run Hadoop/<strong>MapReduce</strong> scripts to provide interesting analytics. If you had a log search engine, with various utilities built on top of it, you&#8217;d have an easy way to see what&#8217;s going on in the <strong>&#8230;</strong><br />
<a href="http://www.roadtofailure.com/" title="http://www.roadtofailure.com/"> Road to Failure &#8211; http://www.roadtofailure.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://php-app-engine.com/2010/nosql/google-cluster-computing-and-mapreduce/&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNHn_zU4YvL7ClAYxbjr704vVE-bVA"> Google: Cluster Computing and <strong>MapReduce</strong> › ec2base</a><br />
By admin<br />
Google: Cluster Computing and <strong>MapReduce</strong>. <a href="http://code.google.com/edu/submissions/">http://code.google.com/edu/submissions/</a><strong>mapreduce</strong>-minilecture/listing.html. This submission contains video lectures and related course materials from a series of lectures that was taught to Google <strong>&#8230;</strong><br />
<a href="http://php-app-engine.com/" title="http://php-app-engine.com/"> ec2base &#8211; http://php-app-engine.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.readwriteweb.com/readwritestart/2010/01/never-mind-the-others-heres-si.php&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNFCGKx7wk3f_gPL9g3sdjq0f8yAXw"> Never Mind the Others: Here&#8217;s Silicon Valley &#8211; ReadWriteStart</a><br />
By Chris Cameron<br />
Innovations such as Cloud/<strong>MapReduce</strong>, NoSQL/BigTable, so on so forth. It is easier to hire 3l33+ computer scientists in the Valley, vs. hiring normal computer guys outside of the Valley. So if the startup is one that is doing something <strong>&#8230;</strong><br />
<a href="http://www.readwriteweb.com/" title="http://www.readwriteweb.com/"> ReadWriteWeb &#8211; http://www.readwriteweb.com/</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.mail-archive.com/mapreduce-issues%40hadoop.apache.org/msg07916.html&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNEj5wjxOtigYZDWbSZ6S_IWsuFaAQ"> [jira] Commented: (<strong>MAPREDUCE</strong>-1367) LocalJobRunner should support <strong>&#8230;</strong></a><br />
[ <a href="https://issues.apache.org/jira/browse/">https://issues.apache.org/jira/browse/</a><strong>MAPREDUCE</strong>-1367?page=com.atlassian.jira. plugin.system.issuetabpanels:comment-tabpanel&amp;focusedCommentId=12799448# <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://petewarden.typepad.com/searchbrowser/2010/01/mapreduce-for-idiots.html&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNEkdpmTdxSLEfrc85YDH7xUfxeefA"> PeteSearch: <strong>MapReduce</strong> for Idiots</a><br />
Photo by Stuart Pilbrow I&#8217;ll admit it, I was intimidated by <strong>MapReduce</strong>. I&#8217;d tried to read explanations of it, but even the wonderful Joel Spolsky left me <strong>&#8230;</strong></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.ideals.illinois.edu/handle/2142/14819&amp;ct=ga&amp;cd=nzGYPpjRJg8&amp;usg=AFQjCNH0L6qSTg4-UH5gtUtuiTX_xK1ozg"> IDEALS @ Illinois: Breaking the <strong>MapReduce</strong> Stage Barrier</a><br />
Thus, we develop a method to break the barrier in <strong>MapReduce</strong> in a way that improves efficiency. Careful design of our barrier-less <strong>MapReduce</strong> framework <strong>&#8230;</strong></td>
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		<title>Google Blog Alert- MapReduce</title>
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		<pubDate>Wed, 27 Jan 2010 17:10:48 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
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		<description><![CDATA[Google Blogs Alert for: mapreduce how to compile python .py file to .pyc file &#124; Key-value, Map &#8230; By mikel Key-value, Map-reduce &#38; SEO. a key-value and map-reduce open source technical blog. « 16 Different Clones You Can Build with Drupal &#8230; Website. Key-value, Map-reduce &#38; SEO is proudly powered by WordPress · Entries (RSS) [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=geeks2men.wordpress.com&amp;blog=11692189&amp;post=3&amp;subd=geeks2men&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Google Blogs Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.conby.com/blog/2010/01/27/how-to-compile-python-py-file-to-pyc-file/&amp;ct=ga&amp;cd=NID0yDDkuLM&amp;usg=AFQjCNGAakbIuOez6BNv2F6bO2CgSy_cVw"> how to compile python .py file to .pyc file | Key-value, <strong>Map</strong> <strong>&#8230;</strong></a><br />
By mikel<br />
Key-value, <strong>Map-reduce</strong> &amp; SEO. a key-value and <strong>map-reduce</strong> open source technical blog. « 16 Different Clones You Can Build with Drupal <strong>&#8230;</strong> Website. Key-value, <strong>Map-reduce</strong> &amp; SEO is proudly powered by WordPress · Entries (RSS) and Comments (RSS).<br />
<a href="http://www.conby.com/blog/" title="http://www.conby.com/blog/"> Key-value, Map-reduce &amp; SEO &#8211; http://www.conby.com/blog/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://gridgain.blogspot.com/2010/01/introducing-gridgain-30.html&amp;ct=ga&amp;cd=NID0yDDkuLM&amp;usg=AFQjCNFZHFwHoiub8sjR6BJ6ovCQWu9uEw"> @Gridify Cloud Computing: Introducing GridGain 3.0</a><br />
By dsetrakyan<br />
Full integration with GridGain <strong>MapReduce</strong> implementation. Integration with Hibernate Level2 cache. One of the richest Cache API on the market including support for functional programming with closures and predicates. <strong>&#8230;</strong><br />
<a href="http://gridgain.blogspot.com/" title="http://gridgain.blogspot.com/"> @Gridify Cloud Computing &#8211; http://gridgain.blogspot.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.infosysblogs.com/engineering-software/2010/01/handling_data_in_enterprise_ma_1.html&amp;ct=ga&amp;cd=NID0yDDkuLM&amp;usg=AFQjCNEcTdvIKYieK07hJcqqTCr_9bUvFQ"> ESP – Product Engineering – Platform and Software Products <strong>&#8230;</strong></a><br />
By Jayanti Vemulapati<br />
<strong>MapReduce</strong> is a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes <a href="http://wiki.apache.org/hadoop/">http://wiki.apache.org/hadoop/</a>. One good example of an enterprise <strong>&#8230;</strong><br />
<a href="http://www.infosysblogs.com/engineering-software/" title="http://www.infosysblogs.com/engineering-software/"> ESP – Product Engineering –&#8230; &#8211; http://www.infosysblogs.com/engineering-software/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.websdeveloper.com/programming-hadoop-in-netbeans/&amp;ct=ga&amp;cd=NID0yDDkuLM&amp;usg=AFQjCNEWtORD3Z2w7jsPJkHDVuzsiCZGRQ"> Programming Hadoop in Netbeans | Webs Developer</a><br />
By web slinger<br />
In this post, I&#8217;ll tell you step-by-step how to use Netbeans to develop a Hadoop <strong>MapReduce</strong> job. I&#8217;m using Netbeans 6.8 in Ubuntu Karmic Koala distribution.<br />
<a href="http://www.websdeveloper.com/" title="http://www.websdeveloper.com/"> Webs Developer &#8211; http://www.websdeveloper.com/</a></td>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://www.redsuedered.com/what-is-mapreduce-and-its-benefits/&amp;ct=ga&amp;cd=NID0yDDkuLM&amp;usg=AFQjCNGPNIOfX7UbFtv27_XlrUtzfwivYg"> What Is <strong>MapReduce</strong> And Its Benefits by REDSUEDERED.COM</a><br />
By Gregory Smith<br />
<strong>MapReduce</strong> is made of two parts. The first part is the Map. Basically, this is the part that locates the data and “maps” them into different clusters. This means that Map is the first line that will identify the preliminary information <strong>&#8230;</strong><br />
<a href="http://www.redsuedered.com/" title="http://www.redsuedered.com/"> REDSUEDERED.COM &#8211; http://www.redsuedered.com/</a></td>
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<p>Google Web Alert for: <strong>mapreduce</strong></p>
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<td><a href="http://www.google.com/url?sa=X&amp;q=http://industry.slashgeo.org/article.pl%3Fsid%3D10/01/19/1929249%26from%3Drss&amp;ct=ga&amp;cd=NID0yDDkuLM&amp;usg=AFQjCNEQzQOSO0HWhFvg5T2WPRBKYkpiiA"> Slashgeo | USPTO Grants Google a Patent On <strong>MapReduce</strong></a><br />
Found on slashdot, here is their summary : &quot;Two years ago, David DeWitt and Michael Stonebraker deemed <strong>MapReduce</strong> a major step backwards (here are the <strong>&#8230;</strong></td>
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		<title>Hello world!</title>
		<link>http://geeks2men.wordpress.com/2010/01/27/hello-world/</link>
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		<pubDate>Wed, 27 Jan 2010 17:06:32 +0000</pubDate>
		<dc:creator>Ajay Ohri</dc:creator>
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