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    <description>recent bookmarks from mcroydon</description>
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	<rdf:li rdf:resource="http://www.cs.waikato.ac.nz/~abifet/MOA/"/>
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	<rdf:li rdf:resource="http://www.cloudera.com/blog/2009/10/15/analyzing-human-genomes-with-hadoop/"/>
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  </channel><item rdf:about="https://www.locationtech.org/projects/technology.geojinni">
    <title>GeoJinni | LocationTech</title>
    <dc:date>2017-03-13T14:46:07+00:00</dc:date>
    <link>https://www.locationtech.org/projects/technology.geojinni</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Maybe?]]></description>
<dc:subject>spatial bigdata hadoop database gis</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:185d19eb363b/</dc:identifier>
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<item rdf:about="http://www.geomesa.org/">
    <title>Home · GeoMesa</title>
    <dc:date>2017-03-13T14:43:49+00:00</dc:date>
    <link>http://www.geomesa.org/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>columndb bigdata hadoop geo gis data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:04e999b53652/</dc:identifier>
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<item rdf:about="https://medium.com/game-changing-ideas/c3c516146599">
    <title>From a Frat Social Network to a GPU Compiler for Hadoop: A Story of How We Discovered What To Build — Game-changing Ideas — Medium</title>
    <dc:date>2013-12-10T15:26:15+00:00</dc:date>
    <link>https://medium.com/game-changing-ideas/c3c516146599</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A pretty roundabout way.]]></description>
<dc:subject>gpu hadoop opencl search</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a9684beffe01/</dc:identifier>
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<item rdf:about="http://www.cc.gatech.edu/~lingliu/papers/2013/IEEESC2013-GraphPartitioning.pdf">
    <title>Efficient Data Partitioning Model for Heterogeneous Graphs in the Cloud</title>
    <dc:date>2013-11-17T06:29:53+00:00</dc:date>
    <link>http://www.cc.gatech.edu/~lingliu/papers/2013/IEEESC2013-GraphPartitioning.pdf</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["In this paper, we present VB-Partitioner − a distributed data partitioning model and algorithms for efficient processing of graph operations over large-scale graphs in the Cloud."]]></description>
<dc:subject>graph processing distributed systems distributed-systems hadoop performance</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f9ac8b2bf80f/</dc:identifier>
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<item rdf:about="http://blog.cloudera.com/blog/2013/05/zookeeper-made-simpler/">
    <title>Apache ZooKeeper Made Simpler with Curator (Thanks, Netflix!) | Apache Hadoop for the Enterprise | Cloudera</title>
    <dc:date>2013-05-29T20:22:35+00:00</dc:date>
    <link>http://blog.cloudera.com/blog/2013/05/zookeeper-made-simpler/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[New ZK recipes.]]></description>
<dc:subject>hadoop zookeeper</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:134d9b820814/</dc:identifier>
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<item rdf:about="http://accumulo.apache.org/">
    <title>Apache Accumulo</title>
    <dc:date>2012-07-18T14:15:22+00:00</dc:date>
    <link>http://accumulo.apache.org/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["The Apache Accumulo™ sorted, distributed key/value store is a robust, scalable, high performance data storage and retrieval system. Apache Accumulo is based on Google's BigTable design and is built on top of Apache Hadoop, Zookeeper, and Thrift. Apache Accumulo features a few novel improvements on the BigTable design in the form of cell-based access control and a server-side programming mechanism that can modify key/value pairs at various points in the data management process."]]></description>
<dc:subject>bigtable database hadoop keyvalue</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:8897606e9e78/</dc:identifier>
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<item rdf:about="http://www.bytemining.com/2011/08/hadoop-fatigue-alternatives-to-hadoop/">
    <title>Hadoop Fatigue — Alternatives to Hadoop « Byte Mining</title>
    <dc:date>2012-06-19T13:21:33+00:00</dc:date>
    <link>http://www.bytemining.com/2011/08/hadoop-fatigue-alternatives-to-hadoop/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[alternatives and extensions to Hadoop.]]></description>
<dc:subject>bigdata blog hadoop</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://thinkaurelius.github.com/titan/">
    <title>Titan</title>
    <dc:date>2012-06-14T18:01:14+00:00</dc:date>
    <link>http://thinkaurelius.github.com/titan/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Apache-licensed graph engine with pluggable backends (currently Cassandra and HBase) for storage.]]></description>
<dc:subject>database distributed graph open-source hadoop cassandra</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:98fad352ffc2/</dc:identifier>
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<item rdf:about="http://highlyscalable.wordpress.com/2012/02/01/mapreduce-patterns/">
    <title>MapReduce Patterns, Algorithms, and Use Cases « Highly Scalable</title>
    <dc:date>2012-02-10T22:55:00+00:00</dc:date>
    <link>http://highlyscalable.wordpress.com/2012/02/01/mapreduce-patterns/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Good stuff well explained.]]></description>
<dc:subject>algorithms hadoop mapreduce java patterns</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:7eadff2b1c66/</dc:identifier>
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<item rdf:about="http://basho.com/blog/technical/2011/11/29/Riak-and-Hadoop/">
    <title>Basho | Riak and Hadoop (Sitting in a tree)</title>
    <dc:date>2011-11-29T18:00:16+00:00</dc:date>
    <link>http://basho.com/blog/technical/2011/11/29/Riak-and-Hadoop/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Proof of concept implementation]]></description>
<dc:subject>riak hadoop</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f437d41ac98a/</dc:identifier>
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</item>
<item rdf:about="http://www.hortonworks.com/">
    <title>Hortonworks | Architecting the future of big data</title>
    <dc:date>2011-09-23T14:41:02+00:00</dc:date>
    <link>http://www.hortonworks.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Lots of good content coming from this Yahoo! spinoff.]]></description>
<dc:subject>yahoo hadoop</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3bc7340d7f20/</dc:identifier>
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</item>
<item rdf:about="http://mschade.me/notes-storm-twitters-scalable-realtime-comput">
    <title>[Notes] Storm: Twitter's scalable realtime computation system by @nathanmarz - Michael Schade</title>
    <dc:date>2011-09-19T17:46:31+00:00</dc:date>
    <link>http://mschade.me/notes-storm-twitters-scalable-realtime-comput</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Notes from the storm talk.]]></description>
<dc:subject>twitter backtype store hadoop clojure java jvm processing data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b62eb8f096e8/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:backtype"/>
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<item rdf:about="http://wiki.apache.org/incubator/AccumuloProposal">
    <title>AccumuloProposal - Incubator Wiki</title>
    <dc:date>2011-09-05T12:10:47+00:00</dc:date>
    <link>http://wiki.apache.org/incubator/AccumuloProposal</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[NoSQL with some properties similar to HBase with some interesting per-cel ACL. Born at the NSA.]]></description>
<dc:subject>apache hadoop nosql nsa</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:458821aca512/</dc:identifier>
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<item rdf:about="http://www.hortonworks.com/nextgen-mapreduce-hits-apache-hadoop-mainline/">
    <title>NextGen MapReduce Hits Apache Hadoop Mainline | Hortonworks</title>
    <dc:date>2011-08-22T22:21:13+00:00</dc:date>
    <link>http://www.hortonworks.com/nextgen-mapreduce-hits-apache-hadoop-mainline/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Favorite bulletpoint: "NextGen MapReduce has nearly 100,000 lines of code (roughly – just the *.java files). That’s nearly 1/3 of current Apache Hadoop codebase we’ve added in the last 12 months!" All SLOC jokes aside, it sounds like an awesome development.]]></description>
<dc:subject>hadoop java sloc</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b36f299f3af8/</dc:identifier>
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</item>
<item rdf:about="http://gigaom.com/cloud/twitter-to-open-source-hadoop-like-tool/">
    <title>Twitter to open source Hadoop-like tool — Cloud Computing News</title>
    <dc:date>2011-08-06T03:28:27+00:00</dc:date>
    <link>http://gigaom.com/cloud/twitter-to-open-source-hadoop-like-tool/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[More open source bits from twitter/backtype.]]></description>
<dc:subject>developers opensource hadoop scaling twitter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:595f8595233a/</dc:identifier>
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</item>
<item rdf:about="http://www.spark-project.org/">
    <title>Spark Cluster Computing Framework</title>
    <dc:date>2011-07-18T14:49:43+00:00</dc:date>
    <link>http://www.spark-project.org/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write."]]></description>
<dc:subject>analytics hadoop data scala</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6dee120fefc6/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scala"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://borthakur.com/ftp/RealtimeHadoopSigmod2011.pdf">
    <title>Apache Hadoop Goes Realtime at Facebook</title>
    <dc:date>2011-07-18T14:47:14+00:00</dc:date>
    <link>http://borthakur.com/ftp/RealtimeHadoopSigmod2011.pdf</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Elephants gone wild.]]></description>
<dc:subject>hadoop hbase mapreduce programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:42284ab7d3fe/</dc:identifier>
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</item>
<item rdf:about="http://hadoopblog.blogspot.com/2011/07/realtime-hadoop-usage-at-facebook.html?m=1">
    <title>HDFS: Realtime Hadoop usage at Facebook: The Complete Story</title>
    <dc:date>2011-07-03T04:50:27+00:00</dc:date>
    <link>http://hadoopblog.blogspot.com/2011/07/realtime-hadoop-usage-at-facebook.html?m=1</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[More on real-time Hadoop usage at Facebook.]]></description>
<dc:subject>hadoop realtime facebook</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d64c2e6da7fc/</dc:identifier>
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</item>
<item rdf:about="http://hpccsystems.com/">
    <title>HPCC Systems | Open-source. Fast. Scalable. Simple.</title>
    <dc:date>2011-06-24T14:21:18+00:00</dc:date>
    <link>http://hpccsystems.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["...a massive parallel-processing computing platform that solves Big Data problems." From Lexis-Nexis.]]></description>
<dc:subject>bigdata hadoop opensource tools</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1a41ed87501d/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/riptano/brisk">
    <title>riptano/brisk - GitHub</title>
    <dc:date>2011-05-09T13:20:00+00:00</dc:date>
    <link>https://github.com/riptano/brisk</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A Cassandra-backed HDFS implementation and Hive driver.]]></description>
<dc:subject>cassandra hadoop hive datastax</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e56b168b2b07/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datastax"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/">
    <title>Deploying a massively scalable recommender system with Apache Mahout | “I for one welcome our new computer overlords”</title>
    <dc:date>2011-05-09T13:10:55+00:00</dc:date>
    <link>http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>apache mahout hadoop programming recommendations</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:22bdafb51aa3/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
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</item>
<item rdf:about="http://www.dataspora.com/2011/04/pigs-bees-and-elephants-a-comparison-of-eight-mapreduce-languages/">
    <title>Pigs, Bees, and Elephants: A Comparison of Eight MapReduce Languages « Dataspora</title>
    <dc:date>2011-04-28T14:42:15+00:00</dc:date>
    <link>http://www.dataspora.com/2011/04/pigs-bees-and-elephants-a-comparison-of-eight-mapreduce-languages/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A nice overview of toolkits.]]></description>
<dc:subject>hadoop hive java mapreduce pig</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:714acebe26c0/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pig"/>
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</item>
<item rdf:about="http://tech.backtype.com/the-dark-side-of-hadoop">
    <title>The dark side of Hadoop - BackType Technology</title>
    <dc:date>2011-04-22T21:23:57+00:00</dc:date>
    <link>http://tech.backtype.com/the-dark-side-of-hadoop</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[These are the kinds of things that you don't find out until you've been knee deep in something for awhile.]]></description>
<dc:subject>hadoop apache java mapreduce map-reduce</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:5b6b6e5316e9/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:apache"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:map-reduce"/>
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</item>
<item rdf:about="http://www.datastax.com/products/brisk">
    <title>Brisk – Apache Hadoop™ powered by Cassandra | DataStax</title>
    <dc:date>2011-03-30T04:26:17+00:00</dc:date>
    <link>http://www.datastax.com/products/brisk</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[HDFS-like storage layer for Hadoop/Hive using Cassandra.]]></description>
<dc:subject>hadoop cassandra hive</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:161b65dfc3eb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cassandra"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hive"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/xydo/nyc-tech-talks-presentation-hadoop-nodejs">
    <title>NYC Tech Talks Presentation (Hadoop, Node.js)</title>
    <dc:date>2011-02-02T06:15:06+00:00</dc:date>
    <link>http://www.slideshare.net/xydo/nyc-tech-talks-presentation-hadoop-nodejs</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[An interesting node + hadoop architecture overview.]]></description>
<dc:subject>node hadoop node.js architecture slides slide</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:4b10f9785d12/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:node"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:node.js"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:slides"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:slide"/>
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</item>
<item rdf:about="http://devblog.factual.com/hadoop-streaming-stress-testing">
    <title>Factual Dev Blog » Blog Archive » Gratuitous Hadoop: Stress Testing on the Cheap with Hadoop Streaming and EC2</title>
    <dc:date>2011-01-24T07:20:21+00:00</dc:date>
    <link>http://devblog.factual.com/hadoop-streaming-stress-testing</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Stress testing using Hadoop and EC2.]]></description>
<dc:subject>amazon architecture hadoop ec2 testing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:85b0300d39ac/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ec2"/>
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</item>
<item rdf:about="http://brandynwhite.com/">
    <title>Brandyn White - Computer Vision, Hadoop, Mobile Computing, Kinect, and Big Data</title>
    <dc:date>2011-01-24T06:53:41+00:00</dc:date>
    <link>http://brandynwhite.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A Cython-based MapReduce library.]]></description>
<dc:subject>python cython hadoop mapreduce</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:4333e0d1b17d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cython"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://highscalability.com/blog/2010/11/16/facebooks-new-real-time-messaging-system-hbase-to-store-135.html">
    <title>High Scalability - High Scalability - Facebook's New Real-time Messaging System: HBase to Store 135+ Billion Messages a Month</title>
    <dc:date>2010-11-29T04:04:08+00:00</dc:date>
    <link>http://highscalability.com/blog/2010/11/16/facebooks-new-real-time-messaging-system-hbase-to-store-135.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>architecture article bigdata cassandra database mail infrastructure hbase hadoop facebook messages messaging news nosql performance samples storage servers scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:2168cce46e25/</dc:identifier>
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</item>
<item rdf:about="http://facility9.com/2010/11/18/facebook-messaging-hbase-comes-of-age">
    <title>HBase and Hadoop at Facebook | Jeremiah Peschka</title>
    <dc:date>2010-11-29T03:51:22+00:00</dc:date>
    <link>http://facility9.com/2010/11/18/facebook-messaging-hbase-comes-of-age</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[It's awesome to see HBase get some love.
]]></description>
<dc:subject>analysis article cap cassandra comparison database db programming nosql imported hdfs hbase hadoop facebook replication scalability scale scaling</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:92f2093fe28f/</dc:identifier>
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</item>
<item rdf:about="http://opentsdb.net/">
    <title>OpenTSDB - A Distributed, Scalable Monitoring System</title>
    <dc:date>2010-11-21T06:54:18+00:00</dc:date>
    <link>http://opentsdb.net/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable.
]]></description>
<dc:subject>analysis architecture bigdata cloud data database db java lgpl hbase hadoop development graph distributed monitoring nosql opensource operations scalability scale time sysadmin software storage series opentsdb rrd stumbleupon time-series timeseries</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a5ee1b2eb2ab/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:stumbleupon"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:timeseries"/>
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</item>
<item rdf:about="http://engineeringblog.yelp.com/2010/10/mrjob-distributed-computing-for-everybody.html">
    <title>Yelp Engineering Blog: mrjob: Distributed Computing for Everybody</title>
    <dc:date>2010-11-19T15:48:48+00:00</dc:date>
    <link>http://engineeringblog.yelp.com/2010/10/mrjob-distributed-computing-for-everybody.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A really nice wrapper around EMR.
]]></description>
<dc:subject>algorithms amazon aws cloudcomputing computing data hadoop framework distributed dist development datamining library map-reduce map mapreduce nosql opensource yelp webservices search reduce python programming aa elasticmapreduce logs emr mrjob</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1d48bdd4a112/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:aa"/>
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</item>
<item rdf:about="http://s4.io/">
    <title>s4: distributed stream computing platform</title>
    <dc:date>2010-11-14T19:44:49+00:00</dc:date>
    <link>http://s4.io/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data."
]]></description>
<dc:subject>apache bigdata cloud cloudcomputing cluster computing mapreduce map java hadoop framework distributed data opensource processing platform programming real-time streaming stream software scalability reduce realtime streamprocessing yahoo tool s4 streams</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a494420d52a7/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computing"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:map"/>
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</item>
<item rdf:about="http://www.dist-systems.bbn.com/people/krohloff/papers/2010/SHARD_Rohloff_Kurt_HadoopWorld_2010.pdf">
    <title>SHARD: Storing and Querying Large-Scale SemWeb Data</title>
    <dc:date>2010-11-01T16:55:07+00:00</dc:date>
    <link>http://www.dist-systems.bbn.com/people/krohloff/papers/2010/SHARD_Rohloff_Kurt_HadoopWorld_2010.pdf</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[An excellent slide deck presenting SHARD at HadoopWorld.
]]></description>
<dc:subject>rdf triplestore hadoop hdfs mapreduce lubm</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d84f9c68c474/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:rdf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:triplestore"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
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</item>
<item rdf:about="http://www.dist-systems.bbn.com/people/krohloff/shard.shtml">
    <title>SHARD Triple-Store</title>
    <dc:date>2010-10-31T02:00:39+00:00</dc:date>
    <link>http://www.dist-systems.bbn.com/people/krohloff/shard.shtml</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["SHARD is a proof-of-concept use of high-performance, low-cost distributed computing technology to develop a highly scalable triple-store. SHARD is released as an open-source project on the BSD license."
]]></description>
<dc:subject>database db cloud distributed hadoop lubm mapreduce rdf store sparql storage shard semweb semanticweb scalability triple-store</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:41e1d4df6da6/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:rdf"/>
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</item>
<item rdf:about="http://www.ibm.com/developerworks/opensource/library/os-hbase/">
    <title>Finding the way through the semantic Web with HBase</title>
    <dc:date>2010-10-30T19:47:34+00:00</dc:date>
    <link>http://www.ibm.com/developerworks/opensource/library/os-hbase/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[RDF store with HBase.
]]></description>
<dc:subject>article bigdata bigtable computing database developerworks map management knowledge hbase ibm hadoop distributed map-reduce mining processing nosql semantic rdf xml tutorial triple semanticweb</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:c8b0c19e4ac4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigtable"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:developerworks"/>
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</item>
<item rdf:about="http://www.theregister.co.uk/2010/09/09/google_caffeine_explained/">
    <title>Google search index splits with MapReduce • The Register</title>
    <dc:date>2010-09-14T14:16:36+00:00</dc:date>
    <link>http://www.theregister.co.uk/2010/09/09/google_caffeine_explained/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Teach the world to Zig then Zag.
]]></description>
<dc:subject>algorithms architecture bigdata article bigtable gfs distributed database computing computers caffeine google grid hadoop index indexing mapreduce technology search scalability research programming colossus gfs2 news</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:45c601cf2c30/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computers"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:search"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
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</item>
<item rdf:about="http://www.umiacs.umd.edu/~jimmylin/ivory/docs/index.html">
    <title>Ivory: A Hadoop toolkit for web-scale information retrieval research</title>
    <dc:date>2010-07-21T22:42:09+00:00</dc:date>
    <link>http://www.umiacs.umd.edu/~jimmylin/ivory/docs/index.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Big data.
]]></description>
<dc:subject>hadoop</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:26706c994bcd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://code.google.com/p/appengine-mapreduce/">
    <title>appengine-mapreduce - Project Hosting on Google Code</title>
    <dc:date>2010-07-18T03:14:46+00:00</dc:date>
    <link>http://code.google.com/p/appengine-mapreduce/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Pretty slick that it's built atop vanilla appengine.
]]></description>
<dc:subject>appengine cloud cloud-computing google gae hadoop saas python optimization nosql mapreduce scalability webdev develop</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b099bb1b7140/</dc:identifier>
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</item>
<item rdf:about="http://www.cloudera.com/blog/2009/05/building-a-distributed-concurrent-queue-with-apache-zookeeper/">
    <title>Building a distributed concurrent queue with Apache ZooKeeper « Cloudera » Apache Hadoop for the Enterprise</title>
    <dc:date>2010-07-13T13:08:30+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2009/05/building-a-distributed-concurrent-queue-with-apache-zookeeper/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Python bindings and example code.
]]></description>
<dc:subject>hadoop zookeeper</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:178611cb84e9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:zookeeper"/>
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</item>
<item rdf:about="http://hadoopblog.blogspot.com/2010/05/facebook-has-worlds-largest-hadoop.html">
    <title>HDFS: Facebook has the world</title>
    <dc:date>2010-07-01T14:24:51+00:00</dc:date>
    <link>http://hadoopblog.blogspot.com/2010/05/facebook-has-worlds-largest-hadoop.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>hadoop</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:354e7552c7e9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://developer.yahoo.net/blogs/hadoop/2010/06/enabling_hadoop_batch_processi_1.html">
    <title>Enabling Hadoop Batch Processing Systems to Consume Streaming Data (Hadoop and Distributed Computing at Yahoo!)</title>
    <dc:date>2010-06-14T02:50:11+00:00</dc:date>
    <link>http://developer.yahoo.net/blogs/hadoop/2010/06/enabling_hadoop_batch_processi_1.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[The intersection of batch processing and the real-time web.
]]></description>
<dc:subject>collection hadoop log metadata processing yahoo stream</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:0ad7712edd49/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:collection"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:log"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:metadata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:yahoo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:stream"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://feedblog.org/2008/10/12/google-bigtable-compression-zippy-and-bmdiff/">
    <title>Kevin Burton's NEW FeedBlog</title>
    <dc:date>2010-05-17T23:11:28+00:00</dc:date>
    <link>http://feedblog.org/2008/10/12/google-bigtable-compression-zippy-and-bmdiff/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>algorithms hbase hypertable article bigtable interesting compress ops optimization compression data performance database programming datastructures reference zippy dbms google hadoop</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:52d0d1dc4d06/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hypertable"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:interesting"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ops"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:compression"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datastructures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dbms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/kevinweil/nosql-at-twitter-nosql-eu-2010">
    <title>NoSQL at Twitter (NoSQL EU 2010)</title>
    <dc:date>2010-04-24T12:44:03+00:00</dc:date>
    <link>http://www.slideshare.net/kevinweil/nosql-at-twitter-nosql-eu-2010</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A pretty thorough look behind the curtain at Twitter.
]]></description>
<dc:subject>analytics architecture cassandra cloud databases database db grid hbase nosql hadoop presentation pig programming read twitter slideshare slides scribe scaling scalability flockdb yam</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:76d5e8e8cb7b/</dc:identifier>
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</item>
<item rdf:about="http://spyced.blogspot.com/2010/03/cassandra-in-action.html">
    <title>Jonathan Ellis's Programming Blog - Spyced: Cassandra in action</title>
    <dc:date>2010-03-25T14:49:00+00:00</dc:date>
    <link>http://spyced.blogspot.com/2010/03/cassandra-in-action.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Quite the Cassandra roundup.
]]></description>
<dc:subject>cassandra cloudkick database db digg hadoop example read programming nosql mysql lucene kvs key-value hbase reddit scalability scaling sql storage toread twitter</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:478c0e37cf79/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:digg"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:twitter"/>
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</item>
<item rdf:about="http://www.cloudera.com/blog/2010/03/how-raytheon-researchers-are-using-hadoop-to-build-a-scalable-distributed-triple-store/">
    <title>How Raytheon Researchers are Using Hadoop to Build a Scalable, Distributed Triple Store « Cloudera » Apache Hadoop for the Enterprise</title>
    <dc:date>2010-03-22T16:45:33+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2010/03/how-raytheon-researchers-are-using-hadoop-to-build-a-scalable-distributed-triple-store/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Triplestores and Hadoop.  Together.
]]></description>
<dc:subject>hadoop triplestore article articles cloud cloudcomputing cloudera database hdfs graphs graph distributed development mapreduce nosql programming repository rdf scalability toread sparql semanticweb shard semantic_web semantic triple web</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:8f32556cdbb5/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:semantic"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
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</item>
<item rdf:about="http://www.lucidimagination.com/blog/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-of-3/">
    <title>Lucid Imagination » Integrating Apache Mahout with Apache Lucene and Solr – Part I (of 3)</title>
    <dc:date>2010-03-18T18:08:24+00:00</dc:date>
    <link>http://www.lucidimagination.com/blog/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-of-3/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[It looks like it's pretty darn easy to hook up Solr and Mahout.  I can't wait to read more.
]]></description>
<dc:subject>analysis apache learning hadoop lucene machinelearning solr searchengine opensource mapreduce ml nlp mahout textmining toread</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:60926e146580/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:textmining"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.larsgeorge.com/">
    <title>Lineland</title>
    <dc:date>2010-03-15T14:39:16+00:00</dc:date>
    <link>http://www.larsgeorge.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Scroll through for lots and lots of HBase internals.
]]></description>
<dc:subject>blog distributed hadoop hbase nosql mapreduce programming systems storage reference</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1d6d8b575857/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:blog"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:storage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
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</item>
<item rdf:about="http://www.cloudera.com/blog/2010/03/why-europes-largest-ad-targeting-platform-uses-hadoop/">
    <title>Why Europe’s Largest Ad Targeting Platform Uses Hadoop « Cloudera » Apache Hadoop for the Enterprise</title>
    <dc:date>2010-03-10T22:46:55+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2010/03/why-europes-largest-ad-targeting-platform-uses-hadoop/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Moving from Postgres to HDFS + Pig and MapReduce for large data storage, analysis, and aggregation.
]]></description>
<dc:subject>clojure data cloud database development hadoop mapreduce web nosql</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e8e920e306cb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:clojure"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloud"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:development"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.roadtofailure.com/2009/10/29/hbase-vs-cassandra-nosql-battle/">
    <title>HBase vs. Cassandra: NoSQL Battle! | Road to Failure</title>
    <dc:date>2010-03-07T23:57:35+00:00</dc:date>
    <link>http://www.roadtofailure.com/2009/10/29/hbase-vs-cassandra-nosql-battle/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Someone who chose HBase over Cassandra (and why).
]]></description>
<dc:subject>amazon architecture article bigdata bigtable blog cap computing comparison compare clustering cassandra database development dht distributed foss grid hadoop scalability research nosql mysql hbase post vs</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:8abf9bf82733/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:blog"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cap"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dht"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:grid"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:post"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:vs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ria101.wordpress.com/2010/02/24/hbase-vs-cassandra-why-we-moved/">
    <title>HBase vs Cassandra: why we moved « Bits and Bytes.</title>
    <dc:date>2010-03-07T23:56:29+00:00</dc:date>
    <link>http://ria101.wordpress.com/2010/02/24/hbase-vs-cassandra-why-we-moved/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A look at someone who started with HBase and moved to Cassandra (and why).
]]></description>
<dc:subject>architecture benchmark article blog cap cassandra cloud development database db computer foss comparison compare distributed hadoop hbase mysql nosql performance toread scalability programming consistency</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:4849ad078ec8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:article"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cap"/>
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</item>
<item rdf:about="http://www.larsgeorge.com/2009/10/hbase-architecture-101-storage.html">
    <title>Lineland: HBase Architecture 101 - Storage</title>
    <dc:date>2010-03-07T23:53:17+00:00</dc:date>
    <link>http://www.larsgeorge.com/2009/10/hbase-architecture-101-storage.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A solid overview of HBase's storage architecture.
]]></description>
<dc:subject>arch architecture article bigtable blog data database important hbase hadoop good distributed design databases info kvstore nosql performance reference storage toread</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:045e4064507c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:arch"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:databases"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:info"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:kvstore"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:storage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
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</item>
<item rdf:about="http://www.umiacs.umd.edu/~jimmylin/book.html">
    <title>Data-Intensive Text Processing with MapReduce</title>
    <dc:date>2010-02-23T17:10:37+00:00</dc:date>
    <link>http://www.umiacs.umd.edu/~jimmylin/book.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[I flipped through this during the conference and need to read through it more thoroughly.
]]></description>
<dc:subject>programming design data reference book free books geek pdf text hadoop distributed online algorithm algorithms mapreduce datamining to-read ebooks nlp ir textmining distributedcomputing text-mining developers draft</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:751b6d5ad729/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:draft"/>
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</item>
<item rdf:about="http://www.nathankerr.com/projects/parallel-gis-processing/gis_on_hadoop.html">
    <title>GIS on Hadoop - Nathan Kerr</title>
    <dc:date>2009-12-21T18:54:08+00:00</dc:date>
    <link>http://www.nathankerr.com/projects/parallel-gis-processing/gis_on_hadoop.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[WKT for the win.
]]></description>
<dc:subject>data gis geo hadoop parallel analytics processing census spatial via:pskomoroch</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d8afc241a628/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:geo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parallel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:census"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:spatial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:via:pskomoroch"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.larsgeorge.com/2009/11/hbase-vs-bigtable-comparison.html">
    <title>Lineland: HBase vs. BigTable Comparison</title>
    <dc:date>2009-11-27T13:54:47+00:00</dc:date>
    <link>http://www.larsgeorge.com/2009/11/hbase-vs-bigtable-comparison.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A nice feature rundown as compared to BigTable.
]]></description>
<dc:subject>google reference database toread storage hadoop distributed bigtable comparison mapreduce nosql hbase compare</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:cc9df35153c7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:storage"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigtable"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:comparison"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hbase"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:compare"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cloudera.com/hadoop-world-nyc">
    <title>Hadoop World: NYC 2009 | Cloudera</title>
    <dc:date>2009-11-25T15:54:58+00:00</dc:date>
    <link>http://www.cloudera.com/hadoop-world-nyc</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[All of the presentation decks in one place.  Handy.
]]></description>
<dc:subject>hadoop presentation yahoo mapreduce cloud list slides conference 2009 presentations event cloudera foss world new conferences nyc hadoopworld</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:4485a258793e/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:yahoo"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:list"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:world"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nyc"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoopworld"/>
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</item>
<item rdf:about="http://www.slideshare.net/cloudera/hw09-counting-and-clustering-and-other-data-tricks">
    <title>Hw09 Counting And Clustering And Other Data Tricks</title>
    <dc:date>2009-11-25T15:54:11+00:00</dc:date>
    <link>http://www.slideshare.net/cloudera/hw09-counting-and-clustering-and-other-data-tricks</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["Large scale computing is transformative for NYTimes.com."
]]></description>
<dc:subject>hadoop nytimes data analysis</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:39e2ef20ae4c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nytimes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.larsgeorge.com/2009/10/hive-vs-pig.html">
    <title>Lineland: Hive vs. Pig</title>
    <dc:date>2009-11-19T16:52:10+00:00</dc:date>
    <link>http://www.larsgeorge.com/2009/10/hive-vs-pig.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Different tools for different jobs, but it's hard choosing sometimes when you're in the Hadoop ecosystem.
]]></description>
<dc:subject>database hadoop mapreduce comparison hive pig</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d84d7e7e1ae8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:comparison"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hive"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pig"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cloudera.com/hadoop-data-intensive-application-tutorial">
    <title>Building a Data Intensive Web Application with Cloudera, Hadoop, Hive, Pig, and EC2 | Cloudera</title>
    <dc:date>2009-11-19T16:42:58+00:00</dc:date>
    <link>http://www.cloudera.com/hadoop-data-intensive-application-tutorial</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A nice look at end-to-end data analysis of big datasets using things like Pig and Hive.
]]></description>
<dc:subject>programming web data database tools webdev business toread howto tutorial amazon dev scalability hadoop architecture aws computing cluster ec2 pig trends hive cloudera cloudcomputing analytics datamining mapreduce cloud application</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6affcd635d71/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:webdev"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:business"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorial"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dev"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:architecture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:aws"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cluster"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pig"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:trends"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hive"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloudera"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloudcomputing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:application"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sourceforge.net/apps/mediawiki/pydoop/index.php?title=Main_Page">
    <title>SourceForge.net: pydoop</title>
    <dc:date>2009-11-15T17:18:06+00:00</dc:date>
    <link>http://sourceforge.net/apps/mediawiki/pydoop/index.php?title=Main_Page</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Python C++ wrappers for HDFS and MapReduce.  It's probably quicker than Dumbo.
]]></description>
<dc:subject>python code library hadoop c++ analytics project examples hdfs via:pskomoroch</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1f31650ff979/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:project"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:examples"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hdfs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:via:pskomoroch"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://wiki.apache.org/hadoop/Hbase/Stargate">
    <title>Hbase/Stargate - Hadoop Wiki</title>
    <dc:date>2009-11-07T10:40:48+00:00</dc:date>
    <link>http://wiki.apache.org/hadoop/Hbase/Stargate</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Alpha-quality RESTful interface for HBase.  Includes plain text, JSON, XML, and ProtocolBuffer serializers.
]]></description>
<dc:subject>rest hadoop hbase xml json web-services</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:49e0e6aa3d6b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:rest"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hbase"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:xml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:json"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web-services"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://wiki.apache.org/hama/GraphPackage">
    <title>GraphPackage - Hama Wiki</title>
    <dc:date>2009-11-05T21:45:19+00:00</dc:date>
    <link>http://wiki.apache.org/hama/GraphPackage</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Graph + Hadoop.
]]></description>
<dc:subject>hadoop scalability graph mapreduce graphs networks open_source academia graphdb</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:63d2aaedd96c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:open_source"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:academia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graphdb"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/kevinweil/hadoop-pig-and-twitter-nosql-east-2009">
    <title>Hadoop, Pig, and Twitter (NoSQL East 2009)</title>
    <dc:date>2009-11-04T15:18:22+00:00</dc:date>
    <link>http://www.slideshare.net/kevinweil/hadoop-pig-and-twitter-nosql-east-2009</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[An awesome deck showing of Pig and how Twitter uses it.
]]></description>
<dc:subject>programming data database howto server dev search statistics hadoop presentation mapreduce datamining twitter analytics slides presentations nosql bigdata socialnetworks slideshare hdfs pig big functional data_mining</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ca5b09a21ac8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:howto"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:twitter"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:presentations"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:slideshare"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pig"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:big"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:functional"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data_mining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cloudera.com/blog/2009/11/02/avro-a-format-for-big-data/">
    <title>Avro: a Format for Big Data » Cloudera Hadoop &amp; Big Data Blog</title>
    <dc:date>2009-11-04T15:04:40+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2009/11/02/avro-a-format-for-big-data/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Another data interchange format (I think) like ProtocolBuffers and Thrift.  I think one of the bigger problems that the Hadoop/big data community has is parallel internal implementations of building blocks that are later open-sourced.
]]></description>
<dc:subject>data database storage distributed hadoop apache cloud json messaging encoding protocol portable cloudera bigdata data-structures serialization format foss thrift buffers introduction avro</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d3ebcb56b190/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:storage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:encoding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:protocol"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:portable"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloudera"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-structures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:serialization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:format"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:foss"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:thrift"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:buffers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:introduction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:avro"/>
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</item>
<item rdf:about="http://www.cs.waikato.ac.nz/~abifet/MOA/">
    <title>MOA - Massive Online Analysis</title>
    <dc:date>2009-11-04T14:00:35+00:00</dc:date>
    <link>http://www.cs.waikato.ac.nz/~abifet/MOA/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Kinda want to know more.
]]></description>
<dc:subject>programming software development java tools data distributed framework analysis hadoop ai streaming datamining machinelearning frameworks stream mining ir data-mining ml bigdata data_mining regression weka dataflow moa</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:76fce549e42a/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-mining"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data_mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:regression"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:weka"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:moa"/>
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</item>
<item rdf:about="http://journal.uggedal.com/nosql-east-2009---summary-of-day-1">
    <title>Journal of Eivind Uggedal: NoSQL East 2009 - Summary of Day 1</title>
    <dc:date>2009-11-02T15:32:44+00:00</dc:date>
    <link>http://journal.uggedal.com/nosql-east-2009---summary-of-day-1</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Some interesting bits and more of the same but I really like the dark-launch approach that Scribe allows.
]]></description>
<dc:subject>data database toread blog scalability internet distributed article hadoop scaling db cloud couchdb conference papers keyvalue nosql links cassandra 2009 mongodb dynomite riak</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:9e5aa67e6f6c/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:conference"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:keyvalue"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cassandra"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:2009"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mongodb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dynomite"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:riak"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cluster-fork.info/index.php?title=Main_Page">
    <title>GoodDoop</title>
    <dc:date>2009-10-22T17:33:24+00:00</dc:date>
    <link>http://cluster-fork.info/index.php?title=Main_Page</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A nice set of recipes for Hadoop that probably translate well to other Map/Reduce architectures.
]]></description>
<dc:subject>wiki algorithms algorithm hadoop mapreduce examples recipe</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6eace2609fbf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:wiki"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:examples"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recipe"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://databeta.wordpress.com/2009/10/18/mapreduce-online/">
    <title>MapReduce Online! (and some gimmes) « Data Beta</title>
    <dc:date>2009-10-20T01:15:44+00:00</dc:date>
    <link>http://databeta.wordpress.com/2009/10/18/mapreduce-online/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A potential game-changer?
]]></description>
<dc:subject>dataprocessing berkeley hop google database research performance online distributed hadoop streaming realtime stream analytics parallel optimization mapreduce</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:635bbe171905/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dataprocessing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:berkeley"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:online"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:streaming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:realtime"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:stream"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parallel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:optimization"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.manamplified.org/archives/2008/11/hadoop-is-about-scalability.html">
    <title>Hadoop Is About Scalability, Not Performance - manAmplified</title>
    <dc:date>2009-10-19T13:06:48+00:00</dc:date>
    <link>http://www.manamplified.org/archives/2008/11/hadoop-is-about-scalability.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Word.
]]></description>
<dc:subject>programming google java scalability performance hadoop mapreduce concurrency cascading unread</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:78b09f97a4ae/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:concurrency"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cascading"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:unread"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cloudera.com/blog/2009/10/15/analyzing-human-genomes-with-hadoop/">
    <title>Analyzing Human Genomes with Hadoop » Cloudera Hadoop &amp; Big Data Blog</title>
    <dc:date>2009-10-17T19:48:01+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2009/10/15/analyzing-human-genomes-with-hadoop/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A fantastic writeup of absurdly fast sequencing software that can analyze a human genome in about 3 hours for less than $100 of AWS resources.  Pretty darned impressive.
]]></description>
<dc:subject>data opensource computer amazon algorithms aws hadoop ec2 mapreduce dna bioinformatics cloudera trend genetics genome foss genomics</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:9269c592c357/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dna"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bioinformatics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloudera"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:trend"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:genetics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:genome"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:foss"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:genomics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nytimes.com/2009/10/12/technology/12data.html?_r=1">
    <title>Training to Climb an Everest of Digital Data</title>
    <dc:date>2009-10-13T13:25:54+00:00</dc:date>
    <link>http://www.nytimes.com/2009/10/12/technology/12data.html?_r=1</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Big data is big and almost always requires a completely different mindset than the one that is taught in computer science programs.
]]></description>
<dc:subject>data database processing google news toread ibm energy datasets mining search research science internet algorithms storage scaling education hadoop analysis computer-science datacuration</dc:subject>
<dc:identifier>https://pinboard.in/u:mcroydon/b:50a23b3c27e4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:news"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:toread"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ibm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:energy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datasets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:search"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:internet"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:storage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scaling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:education"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datacuration"/>
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