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    <description>recent bookmarks from mcroydon</description>
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  </channel><item rdf:about="https://blog.pgvecto.rs/why-hnsw-is-not-the-answer">
    <title>Why HNSW is Not the Answer to Vector Databases</title>
    <dc:date>2025-01-19T20:17:22+00:00</dc:date>
    <link>https://blog.pgvecto.rs/why-hnsw-is-not-the-answer</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Local maxima?]]></description>
<dc:subject>data database vector</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:93a8e0a28a5a/</dc:identifier>
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<item rdf:about="https://info.tokyo-digitaltwin.metro.tokyo.lg.jp/3dmodel/">
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    <dc:date>2025-01-19T20:13:05+00:00</dc:date>
    <link>https://info.tokyo-digitaltwin.metro.tokyo.lg.jp/3dmodel/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Tokyo point cloud data.]]></description>
<dc:subject>cloud 3d data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d9540d9b4324/</dc:identifier>
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    <title>COSMOS Gaia Data and tools - Gaia - Cosmos</title>
    <dc:date>2025-01-15T16:14:39+00:00</dc:date>
    <link>https://www.cosmos.esa.int/web/gaia/data</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[To play with someday.]]></description>
<dc:subject>easa gaia satellite astronomy data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:42c146e39f07/</dc:identifier>
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<item rdf:about="https://www.usenix.org/publications/loginonline/evolution-sre-google">
    <title>The Evolution of SRE at Google | USENIX</title>
    <dc:date>2025-01-11T15:12:13+00:00</dc:date>
    <link>https://www.usenix.org/publications/loginonline/evolution-sre-google</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>complexity software-engineering links tech security scalability google data development</dc:subject>
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<item rdf:about="https://www.mixesdb.com/w/Main_Page">
    <title>MixesDB - The Database for Mixes</title>
    <dc:date>2024-12-30T20:44:57+00:00</dc:date>
    <link>https://www.mixesdb.com/w/Main_Page</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A lot of information about what songs are ending up in mixes and podcasts and other stuff.]]></description>
<dc:subject>crowdsourcing dj audio music database data</dc:subject>
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<dc:identifier>https://pinboard.in/u:mcroydon/b:bd6662d8487b/</dc:identifier>
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    <title>TanStack Table</title>
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    <link>https://tanstack.com/table/latest</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[More tables.]]></description>
<dc:subject>react data table</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.ag-grid.com/">
    <title>AG Grid: High-Performance React Grid, Angular Grid, JavaScript Grid</title>
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    <link>https://www.ag-grid.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[*Slaps Grid* This bad boy can fit so much data in it.]]></description>
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<item rdf:about="https://www.importyeti.com/">
    <title>Home: ImportYeti - Find Quality Suppliers</title>
    <dc:date>2022-04-27T16:17:44+00:00</dc:date>
    <link>https://www.importyeti.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[DTC intelligence.]]></description>
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<item rdf:about="https://cal-data-eng.github.io/">
    <title>Home - Data Eng</title>
    <dc:date>2022-02-25T13:16:40+00:00</dc:date>
    <link>https://cal-data-eng.github.io/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[The slides to this course look really good.]]></description>
<dc:subject>data engineering data-engineering courses learning course</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:63b323ae0072/</dc:identifier>
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    <title>Become A Better Data Engineer On A Shoestring (More Free Resources) — Pipeline Data Engineering Academy</title>
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    <dc:creator>mcroydon</dc:creator><description><![CDATA[This looks like a really good list!]]></description>
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<item rdf:about="https://tabula.technology/">
    <title>Tabula: Extract Tables from PDFs</title>
    <dc:date>2019-07-08T12:34:59+00:00</dc:date>
    <link>https://tabula.technology/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>excel pdf hacks tools data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.google.com/analytics/data-studio/">
    <title>Easily Build Custom Reports and Dashboards - Google Data Studio – Google</title>
    <dc:date>2017-10-19T16:07:18+00:00</dc:date>
    <link>https://www.google.com/analytics/data-studio/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[This looks pretty.]]></description>
<dc:subject>dashboard analytics visualization google data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:af6781313621/</dc:identifier>
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<item rdf:about="http://geotrellis.io/">
    <title>[untitled]</title>
    <dc:date>2017-03-13T14:44:47+00:00</dc:date>
    <link>http://geotrellis.io/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>akka bigdata gis api data big-data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://ngageoint.github.io/geowave/">
    <title>GeoWave</title>
    <dc:date>2017-03-13T14:44:21+00:00</dc:date>
    <link>https://ngageoint.github.io/geowave/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>gis geo data big-data</dc:subject>
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</item>
<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>
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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:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:geo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:gis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://influxdata.com/">
    <title>The Platform for Time-Series Data | InfluxData</title>
    <dc:date>2016-02-22T15:08:40+00:00</dc:date>
    <link>https://influxdata.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Good for timeseries data.]]></description>
<dc:subject>timeseries monitoring analytics database data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:5a0880cba3c7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:timeseries"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:monitoring"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.scylladb.com/">
    <title>Scylla DB</title>
    <dc:date>2016-02-10T16:22:18+00:00</dc:date>
    <link>http://www.scylladb.com/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>cassandra nosql distributed database data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:654950d21926/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cassandra"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://flink.apache.org/">
    <title>Apache Flink: Home</title>
    <dc:date>2015-02-03T17:00:45+00:00</dc:date>
    <link>https://flink.apache.org/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>bigdata apache data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ee06617a593c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:apache"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.periscope.io/">
    <title>Periscope</title>
    <dc:date>2014-12-09T15:23:24+00:00</dc:date>
    <link>https://www.periscope.io/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Data viz and analytics.]]></description>
<dc:subject>sql analytics visualization database data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:cfa5d14209a4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:sql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://kukuruku.co/hub/cpp/lock-free-data-structures-introduction">
    <title>Lock-free Data Structures. 1 — Introduction / C++ / Kukuruku / Technology Hub</title>
    <dc:date>2014-07-17T13:28:37+00:00</dc:date>
    <link>http://kukuruku.co/hub/cpp/lock-free-data-structures-introduction</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>c concurrency algorithms data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:85b93bb4e99a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:c"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:concurrency"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://source.opennews.org/en-US/articles/introducing-streamtools/">
    <title>Introducing Streamtools: A Graphical Tool for Working with Streams of Data - Features - Source: An OpenNews project</title>
    <dc:date>2014-03-16T02:43:56+00:00</dc:date>
    <link>https://source.opennews.org/en-US/articles/introducing-streamtools/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Neat! Similar to nodeflo but in go!]]></description>
<dc:subject>dataflow stream data programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3b17f3698919/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:dataflow"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:stream"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://academictorrents.com/">
    <title>Academic Torrents</title>
    <dc:date>2014-01-30T16:43:34+00:00</dc:date>
    <link>http://academictorrents.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Datas.]]></description>
<dc:subject>academic bittorrent data repository research</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:54ede11ff5ef/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bittorrent"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:repository"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.cmu.edu/~15210/schedule.html">
    <title>15210 — Course Schedule</title>
    <dc:date>2014-01-03T04:08:03+00:00</dc:date>
    <link>http://www.cs.cmu.edu/~15210/schedule.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Parallel and Sequential Data Structures and Algorithms]]></description>
<dc:subject>algorithms data-structures data structures parallel</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:84bede14ee1a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-structures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:structures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:parallel"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.datatau.com/">
    <title>DataTau</title>
    <dc:date>2013-12-13T15:03:08+00:00</dc:date>
    <link>http://www.datatau.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[More things to read?]]></description>
<dc:subject>data datamining hackernews news</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:6a239b5160e5/</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:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hackernews"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:news"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://simperium.com/">
    <title>Simperium</title>
    <dc:date>2013-12-10T15:22:06+00:00</dc:date>
    <link>https://simperium.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Neat.]]></description>
<dc:subject>app data library mobile sync</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:b1c48efa55b7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:app"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mobile"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:sync"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bamboo.io/docs/index.html">
    <title>Welcome to the bamboo documentation! — bamboo 0.6.3 alpha documentation</title>
    <dc:date>2013-12-10T15:17:17+00:00</dc:date>
    <link>http://bamboo.io/docs/index.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["bamboo is an application that systematizes realtime data analysis. bamboo provides an interface for merging, aggregating and adding algebraic calculations to dynamic datasets. Clients can interact with bamboo through a REST web interface and through Python."]]></description>
<dc:subject>analytics bigdata data pandas python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:690a3c60e127/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pandas"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jeremydhoon.github.com/2013/03/19/abusing-hash-kernels-for-wildly-unprincipled-machine-learning/">
    <title>Abusing hash kernels for wildly unprincipled machine learning</title>
    <dc:date>2013-04-03T23:32:38+00:00</dc:date>
    <link>http://jeremydhoon.github.com/2013/03/19/abusing-hash-kernels-for-wildly-unprincipled-machine-learning/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>ai data machine-learning machinelearning python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1f390b2fdfb1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://pressurenet.cumulonimbus.ca/">
    <title>pressureNET</title>
    <dc:date>2013-03-15T14:57:58+00:00</dc:date>
    <link>http://pressurenet.cumulonimbus.ca/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Crowdsourced atmospheric pressure from android phones.]]></description>
<dc:subject>android data measurement weather</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:bd4b167564c7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:android"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:measurement"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:weather"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.theatlanticwire.com/global/2013/03/pope-vote-charts/62996/">
    <title>How Long the Pope Vote Might Last, According to 900 Years of Data - Philip Bump - The Atlantic Wire</title>
    <dc:date>2013-03-13T18:21:24+00:00</dc:date>
    <link>http://www.theatlanticwire.com/global/2013/03/pope-vote-charts/62996/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Conclave data.]]></description>
<dc:subject>pope church conclave data visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:5aa885567848/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pope"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:church"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:conclave"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://kmike.ru/python-data-structures/">
    <title>Fast Non-Standard Data Structures for Python</title>
    <dc:date>2013-01-28T12:28:04+00:00</dc:date>
    <link>http://kmike.ru/python-data-structures/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Fast Python data structures that aren't part of the standard library.]]></description>
<dc:subject>algorithms data datastructures python structures</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:984b40298f4f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datastructures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:structures"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://m.computerworld.com/s/article/9233750/World_s_most_powerful_big_data_machines_charted_on_Graph_500">
    <title>World's most powerful big data machines charted on Graph 500 - Computerworld</title>
    <dc:date>2012-12-03T06:46:44+00:00</dc:date>
    <link>http://m.computerworld.com/s/article/9233750/World_s_most_powerful_big_data_machines_charted_on_Graph_500</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[nom.]]></description>
<dc:subject>computer computers data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:2bfa36f0ea17/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://concatenative.org/wiki/view/Exotic%20Data%20Structures">
    <title>Exotic Data Structures</title>
    <dc:date>2012-10-15T15:17:31+00:00</dc:date>
    <link>http://concatenative.org/wiki/view/Exotic%20Data%20Structures</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Add some spice to your computational life.]]></description>
<dc:subject>data data-structures datastructure datastructures programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:bd5d0cf57d9c/</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:data-structures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datastructure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datastructures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.getprismatic.com/blog/2012/10/1/prismatics-graph-at-strange-loop.html">
    <title>Prismatic blog - Prismatic Blog - Prismatic's &quot;Graph&quot; at Strange Loop</title>
    <dc:date>2012-10-12T01:39:02+00:00</dc:date>
    <link>http://blog.getprismatic.com/blog/2012/10/1/prismatics-graph-at-strange-loop.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Writing services like a mathematician.]]></description>
<dc:subject>clojure data graph inspiration</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:1d2e18246072/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:clojure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:inspiration"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.naturalearthdata.com/">
    <title>Natural Earth</title>
    <dc:date>2012-10-04T14:15:10+00:00</dc:date>
    <link>http://www.naturalearthdata.com/</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>cartography data free gis maps</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:2770f4aaffc8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cartography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:gis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:maps"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://i.stanford.edu/~ullman/mmds.html">
    <title>Mining of Massive Datasets</title>
    <dc:date>2012-08-12T01:41:19+00:00</dc:date>
    <link>http://i.stanford.edu/~ullman/mmds.html</link>
    <dc:creator>mcroydon</dc:creator><dc:subject>book books data datamining machine-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:4dc4246de2f2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.bigml.com/2012/05/04/machine-learning-in-python-has-never-been-easier/">
    <title>Machine Learning in Python Has Never Been Easier! « The Official Blog of BigML.com</title>
    <dc:date>2012-05-07T18:37:31+00:00</dc:date>
    <link>http://blog.bigml.com/2012/05/04/machine-learning-in-python-has-never-been-easier/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[This looks really neat.  ML in the cloud or bring it back down and run it yourself.]]></description>
<dc:subject>data machine machinelearning ml python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:fad7b381cf49/</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:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:ml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://so.danwin.com/slides/beauty-of-data.html#1">
    <title>Making Data Pretty - Beauty is in the Data, not the Tools - Dan Nguyen, for IJF 2012</title>
    <dc:date>2012-05-02T05:03:14+00:00</dc:date>
    <link>http://so.danwin.com/slides/beauty-of-data.html#1</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Pretty Data tools.]]></description>
<dc:subject>data data-visualization tutorials</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a4a01176d5c2/</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:data-visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tutorials"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cjauvin.blogspot.ca/2012/04/lean-geocoding.html">
    <title>Christian's Technical Pad: Lean Geocoding</title>
    <dc:date>2012-04-30T18:08:30+00:00</dc:date>
    <link>http://cjauvin.blogspot.ca/2012/04/lean-geocoding.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A fun look at rolling your own geocoding.]]></description>
<dc:subject>blog canada geocoding data geolocation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:c7cba3b33c8d/</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:canada"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:geocoding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:geolocation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aws.typepad.com/aws/2012/03/the-1000-genomes-project.html">
    <title>Amazon Web Services Blog: The 1000 Genomes Project</title>
    <dc:date>2012-03-31T01:12:34+00:00</dc:date>
    <link>http://aws.typepad.com/aws/2012/03/the-1000-genomes-project.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Genomes!]]></description>
<dc:subject>amazon aws bioinformatics data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a98a7cfef9bf/</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:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bioinformatics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://gephi.org/">
    <title>Gephi, an open source graph visualization and manipulation software</title>
    <dc:date>2012-03-26T15:58:52+00:00</dc:date>
    <link>https://gephi.org/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[For someday.]]></description>
<dc:subject>data graphs software tools visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:8a86e8e750b7/</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:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://square.github.com/tesseract/">
    <title>Tesseract</title>
    <dc:date>2012-03-20T14:37:26+00:00</dc:date>
    <link>http://square.github.com/tesseract/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Pretty.]]></description>
<dc:subject>data javascript library visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:c324beb1d43c/</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:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://courses.csail.mit.edu/6.851/spring12/">
    <title>Advanced Data Structures (6.851)</title>
    <dc:date>2012-02-09T17:47:29+00:00</dc:date>
    <link>http://courses.csail.mit.edu/6.851/spring12/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[This is my Big O face.]]></description>
<dc:subject>algorithm algorithms data structures mit datastructures computer science computer-science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:e9ae7957b414/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:structures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datastructures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:computer-science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bionicspirit.com/blog/2012/01/16/cosine-similarity-euclidean-distance.html">
    <title>Data Mining: Finding Similar Items and Users</title>
    <dc:date>2012-01-16T16:57:45+00:00</dc:date>
    <link>http://bionicspirit.com/blog/2012/01/16/cosine-similarity-euclidean-distance.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Similar to the first couple of chapters of Programming Collective Intelligence.]]></description>
<dc:subject>algorithm data data-mining programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:641d4642dcac/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data-mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.census.gov/geo/www/cob/bdy_files.html">
    <title>Cartographic Boundary Files - U.S. Census Bureau</title>
    <dc:date>2011-11-21T17:04:12+00:00</dc:date>
    <link>http://www.census.gov/geo/www/cob/bdy_files.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Shapefiles from the US Census Bureau.]]></description>
<dc:subject>census data geography gis maps</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:bb18c6eb13fe/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:census"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:geography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:gis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:maps"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://chart.io/blog/2011/10/06/data-science-according-to-linkedins-monica-rogati/">
    <title>Data Science According to LinkedIn's Monica Rogati | Chart.io</title>
    <dc:date>2011-10-12T14:54:26+00:00</dc:date>
    <link>http://chart.io/blog/2011/10/06/data-science-according-to-linkedins-monica-rogati/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[For Science!]]></description>
<dc:subject>analytics data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:dc61442301ce/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://notes.variogr.am/post/10733372290/music-resolving-facebook">
    <title>notes.variogr.am - Why music ID resolution matters to every music fan on Facebook</title>
    <dc:date>2011-10-11T19:13:46+00:00</dc:date>
    <link>http://notes.variogr.am/post/10733372290/music-resolving-facebook</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Music ID resolution is hard, let's go record shopping!]]></description>
<dc:subject>api datasets data identification</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:9854cdb8f674/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datasets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:identification"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://lwn.net/Articles/452307/">
    <title>Data Warehousing 101 [LWN.net]</title>
    <dc:date>2011-09-23T15:49:55+00:00</dc:date>
    <link>http://lwn.net/Articles/452307/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A look at data warehousing.]]></description>
<dc:subject>bigdata data databases mapreduce</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3b48c1f06a8c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:databases"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.allthingsdistributed.com/2011/08/amazon-emr-on-ec2-spot-instances.html">
    <title>Driving down the cost of Big-Data analytics - All Things Distributed</title>
    <dc:date>2011-09-23T14:43:01+00:00</dc:date>
    <link>http://www.allthingsdistributed.com/2011/08/amazon-emr-on-ec2-spot-instances.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud."]]></description>
<dc:subject>analytics aws bigdata data datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:85c38ad0e35e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://martinfowler.com/bliki/MemoryImage.html">
    <title>MemoryImage</title>
    <dc:date>2011-09-23T14:39:21+00:00</dc:date>
    <link>http://martinfowler.com/bliki/MemoryImage.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Something that Martin Fowler said.]]></description>
<dc:subject>data memory database performance scalability</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:00701a2e7ec1/</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:memory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:performance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/nathanmarz/storm">
    <title>nathanmarz/storm - GitHub</title>
    <dc:date>2011-09-23T14:00:06+00:00</dc:date>
    <link>https://github.com/nathanmarz/storm</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Processing kit from Backtype.]]></description>
<dc:subject>data datamining processing twitter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f813ca955ac2/</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:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:twitter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://bitly.com/bundles/hmason/1">
    <title>research-quality data sets</title>
    <dc:date>2011-09-23T13:58:04+00:00</dc:date>
    <link>https://bitly.com/bundles/hmason/1</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Stuff to play with.]]></description>
<dc:subject>data large machinelearning strangeloop</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:427ec9a92cd6/</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:large"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:strangeloop"/>
</rdf:Bag></taxo:topics>
</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>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:backtype"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:store"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:clojure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:jvm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://infolab.stanford.edu/~ullman/mmds.html">
    <title>Mining of Massive Datasets</title>
    <dc:date>2011-09-19T13:29:47+00:00</dc:date>
    <link>http://infolab.stanford.edu/~ullman/mmds.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Looks like a fantastic book on data mining.]]></description>
<dc:subject>book books data datamining mapreduce</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:eb6b8070f544/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mapreduce"/>
</rdf:Bag></taxo:topics>
</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>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:hadoop"/>
	<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://www.haystacksoftware.com/arq/s3_data_format.txt">
    <title>Arq S3 data format</title>
    <dc:date>2011-05-02T17:18:26+00:00</dc:date>
    <link>http://www.haystacksoftware.com/arq/s3_data_format.txt</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[On-S3 data format that Arq uses.  Similar to the way git does it.]]></description>
<dc:subject>backup documentation data mac</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f924b670cfe3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:backup"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:documentation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:mac"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.royans.net/arch/pregel-googles-other-data-processing-infrastructure/">
    <title>Pregel: Google’s other data-processing infrastructure | Scalable web architectures</title>
    <dc:date>2011-04-19T13:30:24+00:00</dc:date>
    <link>http://www.royans.net/arch/pregel-googles-other-data-processing-infrastructure/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[More on Pregel.]]></description>
<dc:subject>bigdata data google pregel graph</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a6a125819c9e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:pregel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graph"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://stackoverflow.com/questions/500607/what-are-the-lesser-known-but-cool-data-structures">
    <title>language agnostic - What are the lesser known but cool data structures ? - Stack Overflow</title>
    <dc:date>2011-03-25T13:56:28+00:00</dc:date>
    <link>http://stackoverflow.com/questions/500607/what-are-the-lesser-known-but-cool-data-structures</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Esoteric but useful data structures.]]></description>
<dc:subject>algorithms data datastructures programming stackoverflow</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3e5dd211d969/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datastructures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:stackoverflow"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://engineering.foursquare.com/2011/03/22/building-a-recommendation-engine-foursquare-style/">
    <title>Building a recommendation engine, foursquare style | Foursquare Engineering Blog</title>
    <dc:date>2011-03-22T21:47:05+00:00</dc:date>
    <link>http://engineering.foursquare.com/2011/03/22/building-a-recommendation-engine-foursquare-style/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Thoughts on building a location-based recommendation system at Foursquare.]]></description>
<dc:subject>algorithm data machine-learning programming recommendation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:662078c4e732/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:recommendation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://substance.io/#michael/data-js">
    <title>Data.js</title>
    <dc:date>2011-03-22T20:59:58+00:00</dc:date>
    <link>http://substance.io/#michael/data-js</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A solid looking persistent graph database and some other nice data storage primitives.  Works in browser or node.js.]]></description>
<dc:subject>data graph inspiration javascript json</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:00c22c6fb021/</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:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:inspiration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:json"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://an.kaist.ac.kr/traces/WWW2010.html">
    <title>What is Twitter, a Social Network or a News Media? - WWW'10</title>
    <dc:date>2011-03-17T01:13:28+00:00</dc:date>
    <link>http://an.kaist.ac.kr/traces/WWW2010.html</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Analyzing the Twitter social graph.]]></description>
<dc:subject>data dataset graph research twitter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:7a44e3924174/</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:dataset"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:twitter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.r-bloggers.com/amanda-cox-on-how-the-new-york-times-graphics-department-uses-r/">
    <title>Amanda Cox on How The New York Times Graphics Department Uses R | (R news &amp; tutorials)</title>
    <dc:date>2011-03-15T14:57:53+00:00</dc:date>
    <link>http://www.r-bloggers.com/amanda-cox-on-how-the-new-york-times-graphics-department-uses-r/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[On the "to watch" lis as I catch up on PyCon presentations.]]></description>
<dc:subject>data programming r statistics visualization towatch</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:66cc0e5bc86a/</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:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:r"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:towatch"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://profiles.google.com/u/0/goog.research.buzz/posts/WsARqxc7d7R">
    <title>Buzz by Google Research</title>
    <dc:date>2011-03-08T14:43:12+00:00</dc:date>
    <link>https://profiles.google.com/u/0/goog.research.buzz/posts/WsARqxc7d7R</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA["Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. In this paper, we describe the architecture and implementation of Dremel, and explain how it complements MapReduce-based computing. We present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system."]]></description>
<dc:subject>google data nosql research paper</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:d1b37548b0e3/</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:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:paper"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://vis.stanford.edu/papers/wrangler">
    <title>Stanford Vis Group | Wrangler: Interactive Visual Specification of Data Transformation Scripts</title>
    <dc:date>2011-03-08T14:41:27+00:00</dc:date>
    <link>http://vis.stanford.edu/papers/wrangler</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[The paper behind the Wrangler project.]]></description>
<dc:subject>browser data datamining visualization web</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:587ddf70b901/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:browser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:web"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bit.ly/bundles/hmason/1">
    <title>research-quality data sets</title>
    <dc:date>2011-03-08T14:35:10+00:00</dc:date>
    <link>http://bit.ly/bundles/hmason/1</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Good big data.]]></description>
<dc:subject>bigdata data open research visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:3109d520a97f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:open"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://mbostock.github.com/d3/">
    <title>d3.js</title>
    <dc:date>2011-03-02T16:49:06+00:00</dc:date>
    <link>http://mbostock.github.com/d3/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Beautiful visualizations, beautiful API.]]></description>
<dc:subject>data framework javascript svg visualization via:nelson</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:a3337cd7d2d1/</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:framework"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:svg"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:via:nelson"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.clips.ua.ac.be/pages/pattern">
    <title>Pattern | CLiPS</title>
    <dc:date>2011-02-24T18:13:02+00:00</dc:date>
    <link>http://www.clips.ua.ac.be/pages/pattern</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[A Python NLP package with emphasis on retrieving and analyzing language found on the web.]]></description>
<dc:subject>analysis data datamining nlp python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:f5375634fe0e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://weatherspark.com/">
    <title>WeatherSpark | Interactive Weather Charts</title>
    <dc:date>2011-02-19T18:59:27+00:00</dc:date>
    <link>http://weatherspark.com/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Impressive visualizations of historical weather data.]]></description>
<dc:subject>weather visualization data via:nelson</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:ee9bcfeea21f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:weather"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:via:nelson"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://vis.stanford.edu/wrangler/">
    <title>Wrangler</title>
    <dc:date>2011-02-04T17:35:44+00:00</dc:date>
    <link>http://vis.stanford.edu/wrangler/</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Impressive data munger.]]></description>
<dc:subject>analysis analytics data tools visualization via:jacobkm</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:02167cf21089/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:tools"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:via:jacobkm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.fastcompany.com/1721659/how-recommendations-could-get-smarter">
    <title>Beyond Amazon: How to Make Recommendations Smarter | Fast Company</title>
    <dc:date>2011-02-02T06:13:39+00:00</dc:date>
    <link>http://www.fastcompany.com/1721659/how-recommendations-could-get-smarter</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[You put the chicken in the pot... bork bork bork.]]></description>
<dc:subject>amazon analytics cloud_computing data datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:7b260c90ae90/</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:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:cloud_computing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datamining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jacquesmattheij.com/Free%2C+Public+Data+Sets">
    <title>Free, Public Data Sets | jacquesmattheij.com</title>
    <dc:date>2011-02-02T06:12:28+00:00</dc:date>
    <link>http://jacquesmattheij.com/Free%2C+Public+Data+Sets</link>
    <dc:creator>mcroydon</dc:creator><description><![CDATA[Lots of links to data.]]></description>
<dc:subject>data dataset datasets free public</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:mcroydon/b:eaad7af594c2/</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:dataset"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:datasets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:free"/>
	<rdf:li rdf:resource="https://pinboard.in/u:mcroydon/t:public"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>