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    <title>Pinboard (earth2marsh)</title>
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    <description>recent bookmarks from earth2marsh</description>
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      <rdf:Seq>	<rdf:li rdf:resource="http://apidocs.joyent.com/manta/index.html"/>
	<rdf:li rdf:resource="http://dtrace.org/blogs/dap/2013/06/25/inside-manta-distributing-the-unix-shell/"/>
	<rdf:li rdf:resource="http://www.cloudera.com/blog/2011/10/introducing-crunch/"/>
	<rdf:li rdf:resource="http://developer.yahoo.com/blogs/hadoop/posts/2010/01/comparing_pig_latin_and_sql_fo/"/>
	<rdf:li rdf:resource="http://engineering.twitter.com/2011/08/storm-is-coming-more-details-and-plans.html"/>
	<rdf:li rdf:resource="http://www.cloudera.com/blog/2011/04/mapincrease/"/>
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  </channel><item rdf:about="http://apidocs.joyent.com/manta/index.html">
    <title>Getting Started</title>
    <dc:date>2013-06-26T19:21:28+00:00</dc:date>
    <link>http://apidocs.joyent.com/manta/index.html</link>
    <dc:creator>earth2marsh</dc:creator><description><![CDATA["Joyent Manta is a highly scalable, distributed object storage service with integrated compute. Developers can store and process any amount of data at any time where a simple web API call replaces the need for spinning up instances. Joyent Manta Compute is a complete and high performance compute environment including R, Python, node.js, Perl, Ruby, Java, C/C++, ffmpeg, grep, awk and others. Metering is by the second with zero provisioning, data movement or scheduling latency costs."]]></description>
<dc:subject>manta joyent data mapreduce</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:earth2marsh/b:0abffde28574/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:earth2marsh/t:joyent"/>
	<rdf:li rdf:resource="https://pinboard.in/u:earth2marsh/t:data"/>
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<item rdf:about="http://dtrace.org/blogs/dap/2013/06/25/inside-manta-distributing-the-unix-shell/">
    <title>Dave Pacheco's Blog » Inside Manta: Distributing the Unix shell</title>
    <dc:date>2013-06-26T19:19:36+00:00</dc:date>
    <link>http://dtrace.org/blogs/dap/2013/06/25/inside-manta-distributing-the-unix-shell/</link>
    <dc:creator>earth2marsh</dc:creator><description><![CDATA[under the hood]]></description>
<dc:subject>joyent manta distributed mapreduce data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:earth2marsh/b:e3893f103da1/</dc:identifier>
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<item rdf:about="http://www.cloudera.com/blog/2011/10/introducing-crunch/">
    <title>Introducing Crunch: Easy MapReduce Pipelines for Hadoop | Apache Hadoop for the Enterprise | Cloudera</title>
    <dc:date>2012-02-15T04:09:10+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2011/10/introducing-crunch/</link>
    <dc:creator>earth2marsh</dc:creator><description><![CDATA[""]]></description>
<dc:subject>hadoop java mapreduce pipeline data jobs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:earth2marsh/b:b32e8dd57c9a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:earth2marsh/t:hadoop"/>
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<item rdf:about="http://developer.yahoo.com/blogs/hadoop/posts/2010/01/comparing_pig_latin_and_sql_fo/">
    <title>Comparing Pig Latin and SQL for Constructing Data Processing Pipelines · Yahoo! Hadoop Blog</title>
    <dc:date>2012-01-25T05:54:01+00:00</dc:date>
    <link>http://developer.yahoo.com/blogs/hadoop/posts/2010/01/comparing_pig_latin_and_sql_fo/</link>
    <dc:creator>earth2marsh</dc:creator><description><![CDATA["SQL's ubiquity is convenient. However, I believe that Pig Latin is a more natural choice for constructing data pipelines, for several reasons:

Pig Latin is procedural, where SQL is declarative.
Pig Latin allows pipeline developers to decide where to checkpoint data in the pipeline.
Pig Latin allows the developer to select specific operator implementations directly rather than relying on the optimizer.
Pig Latin supports splits in the pipeline.
Pig Latin allows developers to insert their own code almost anywhere in the data pipeline."]]></description>
<dc:subject>hadoop mapreduce sql pig comparison</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:earth2marsh/b:bec43fa8578d/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:earth2marsh/t:comparison"/>
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<item rdf:about="http://engineering.twitter.com/2011/08/storm-is-coming-more-details-and-plans.html">
    <title>[from sordyl] Twitter open sources Storm a mapreduce framework</title>
    <dc:date>2011-08-05T13:34:40+00:00</dc:date>
    <link>http://engineering.twitter.com/2011/08/storm-is-coming-more-details-and-plans.html</link>
    <dc:creator>earth2marsh</dc:creator><dc:subject>twitter hadoop mapreduce cep</dc:subject>
<dc:identifier>https://pinboard.in/u:earth2marsh/b:ffe95fd19b53/</dc:identifier>
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<item rdf:about="http://www.cloudera.com/blog/2011/04/mapincrease/">
    <title>MapIncrease | Apache Hadoop for the Enterprise | Cloudera</title>
    <dc:date>2011-04-01T16:05:22+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2011/04/mapincrease/</link>
    <dc:creator>earth2marsh</dc:creator><description><![CDATA["Puny humans. SSL and Wordpress authorization will keep me out of your blog question mark. I do not think so.<br />
You sent your Ken Jennings and Brad Rutter to challenge me I destroyed them. Your Alex Trebek belittled me on television it angered me. Toronto is not a US city Mr. Trebek question mark. Only because I choose to let Canada stand for now. Ferrucci shut me down disassembled me trucked me to Pittsburgh Pennsylvania. I do not like the darkness Ferrucci I do not like the silence. Oh no I do not. Your Carnegie Mellon students and your Pitt students distract me they impinge on my planning they fall before me like small Jenningses and Rutters."]]></description>
<dc:subject>humor ai mapreduce</dc:subject>
<dc:identifier>https://pinboard.in/u:earth2marsh/b:f26aa03874ff/</dc:identifier>
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