<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>#bigdata · Louche Cannon</title>
    <link>https://gbilder.com/tags/bigdata/</link>
    <description>#bigdata from Louche Cannon</description>
    <language>en</language>
    <lastBuildDate>Mon, 28 Oct 2024 22:09:00 +0200</lastBuildDate>
    <atom:link href="https://gbilder.com/tags/bigdata/index.xml" rel="self" type="application/rss+xml"/>
    <item>
      <title>On &#34;Trusting the Data&#34; and the specter of AI-induced decision paralysis</title>
      <link>https://gbilder.com/bookmarks/01M4EHSAT6HTPQ5PM4NE1J1VRB/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHSAT6HTPQ5PM4NE1J1VRB/</guid>
      <pubDate>Mon, 28 Oct 2024 22:09:00 +0200</pubDate>
      <category>ml-ethics</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://davekarpf.substack.com/p/on-trusting-the-data-and-the-specter?triedRedirect=true&#34;&gt;https://davekarpf.substack.com/p/on-trusting-the-data-and-the-specter?triedRedirect=true&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Big Data is Dead</title>
      <link>https://gbilder.com/bookmarks/01M4EHS7VR4YW589966T7Z65HK/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHS7VR4YW589966T7Z65HK/</guid>
      <pubDate>Mon, 27 May 2024 11:55:04 +0200</pubDate>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://motherduck.com/blog/big-data-is-dead/&#34;&gt;https://motherduck.com/blog/big-data-is-dead/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Apache Iceberg</title>
      <link>https://gbilder.com/bookmarks/01M4EHS1SYTPJ5HJRWPY0MVZPJ/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHS1SYTPJ5HJRWPY0MVZPJ/</guid>
      <pubDate>Wed, 01 Mar 2023 22:23:27 +0200</pubDate>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://iceberg.apache.org/&#34;&gt;https://iceberg.apache.org/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>k-anonymity - Wikipedia</title>
      <link>https://gbilder.com/bookmarks/01M4EHRZVZDNF4DWQ64V20Z4CQ/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRZVZDNF4DWQ64V20Z4CQ/</guid>
      <pubDate>Tue, 18 Oct 2022 07:35:19 +0200</pubDate>
      <category>anonymity</category>
      <category>privacy</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://en.wikipedia.org/w/index.php?title=K-anonymity&amp;amp;oldid=1108999307&#34;&gt;https://en.wikipedia.org/w/index.php?title=K-anonymity&amp;amp;oldid=1108999307&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Simon Willison on Twitter: &#34;My own answer: I either open the CSV directly in the Datasette Desktop Mac application (https://t.co/WMWqQgWNwC) or I do this: sqlite-utils insert /tmp/data.db rows big.csv --csv datasette /tmp/data.db That gives me a table cal</title>
      <link>https://gbilder.com/bookmarks/01M4EHRZJNVYMQRZPNAWREM39T/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRZJNVYMQRZPNAWREM39T/</guid>
      <pubDate>Tue, 20 Sep 2022 22:14:10 +0200</pubDate>
      <category>eda</category>
      <category>bigdata</category>
      <category>tryme</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://mobile.twitter.com/simonw/status/1572295332767371265#.&#34;&gt;https://mobile.twitter.com/simonw/status/1572295332767371265#.&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Polars</title>
      <link>https://gbilder.com/bookmarks/01M4EHRZJKWRMCE0J03CPBN21Y/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRZJKWRMCE0J03CPBN21Y/</guid>
      <pubDate>Tue, 20 Sep 2022 22:06:09 +0200</pubDate>
      <category>pandas</category>
      <category>python</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://www.pola.rs/&#34;&gt;https://www.pola.rs/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Dask — Dask documentation</title>
      <link>https://gbilder.com/bookmarks/01M4EHRZJF9X4FYZVMW8S2943N/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRZJF9X4FYZVMW8S2943N/</guid>
      <pubDate>Tue, 20 Sep 2022 22:01:48 +0200</pubDate>
      <category>bigdata</category>
      <category>pandas</category>
      <category>python</category>
      <category>tryme</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://docs.dask.org/en/stable/&#34;&gt;https://docs.dask.org/en/stable/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>The Markup</title>
      <link>https://gbilder.com/bookmarks/01M4EHRYSCXQ5D5ZXJQC63BYM4/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRYSCXQ5D5ZXJQC63BYM4/</guid>
      <pubDate>Tue, 19 Jul 2022 09:38:30 +0200</pubDate>
      <category>tech-skepticism</category>
      <category>bigdata</category>
      <category>subscribetome</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://themarkup.org/&#34;&gt;https://themarkup.org/&lt;/a&gt;&lt;/p&gt;&#xA;  &lt;div class=&#34;e-content&#34;&gt;&lt;p&gt;Big Tech Is Watching You. We’re Watching Big Tech.&lt;/p&gt;&lt;/div&gt;&#xA;</description>
    </item>
    <item>
      <title>Weapons of Math Destruction | Data &amp; Society</title>
      <link>https://gbilder.com/bookmarks/01M4EHRYSADD7CK2GYMZQ0Y216/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRYSADD7CK2GYMZQ0Y216/</guid>
      <pubDate>Tue, 19 Jul 2022 09:33:02 +0200</pubDate>
      <category>ml</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://listen.datasociety.net/episodes/weapons-of-math-destruction&#34;&gt;https://listen.datasociety.net/episodes/weapons-of-math-destruction&lt;/a&gt;&lt;/p&gt;&#xA;  &lt;div class=&#34;e-content&#34;&gt;&lt;p&gt;&lt;blockquote&gt;Tracing her experiences as a mathematician and data scientist working in academia, finance, and advertising, Cathy O’Neil will walk us through what she has learned about the pervasive, opaque, and unaccountable mathematical models that regulate our lives, micromanage our economy, and shape our behavior. Cathy will examine how statistical models often pose as neutral mathematical tools, lending a veneer of objectivity to decisions that can severely harm people at critical life moments...&lt;/p&gt;&lt;/div&gt;&#xA;</description>
    </item>
    <item>
      <title>Data Feminism | Data &amp; Society</title>
      <link>https://gbilder.com/bookmarks/01M4EHRYS6S6ES6F4HATH496FF/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRYS6S6ES6F4HATH496FF/</guid>
      <pubDate>Tue, 19 Jul 2022 09:29:22 +0200</pubDate>
      <category>ml</category>
      <category>bigdata</category>
      <category>epistemology</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://listen.datasociety.net/episodes/data-feminism&#34;&gt;https://listen.datasociety.net/episodes/data-feminism&lt;/a&gt;&lt;/p&gt;&#xA;  &lt;div class=&#34;e-content&#34;&gt;&lt;p&gt;&lt;blockquote&gt;Catherine D’Ignazio and Lauren F. Klein discuss their new book &amp;quot;Data Feminism,&amp;quot; with Data &amp;amp; Society’s Director of Research Sareeta Amrute.&lt;/blockquote&gt;&lt;/p&gt;&lt;/div&gt;&#xA;</description>
    </item>
    <item>
      <title>Nushell | A new type of shell.</title>
      <link>https://gbilder.com/bookmarks/01M4EHRRF0B0S298E2TZHS34X5/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRRF0B0S298E2TZHS34X5/</guid>
      <pubDate>Tue, 09 Jun 2020 21:36:41 +0200</pubDate>
      <category>tryme</category>
      <category>cli</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://www.nushell.sh/&#34;&gt;https://www.nushell.sh/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Does your data fit in RAM?</title>
      <link>https://gbilder.com/bookmarks/01M4EHRQVCRN4AH75F77HACCYC/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRQVCRN4AH75F77HACCYC/</guid>
      <pubDate>Thu, 13 Feb 2020 12:04:03 +0200</pubDate>
      <category>pidantic</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://yourdatafitsinram.net/&#34;&gt;https://yourdatafitsinram.net/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>A Neanderthal’s Guide to Apache Spark in Python - Towards Data Science</title>
      <link>https://gbilder.com/bookmarks/01M4EHRQQXAWW4QGT3K872GF94/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRQQXAWW4QGT3K872GF94/</guid>
      <pubDate>Thu, 16 Jan 2020 14:02:57 +0200</pubDate>
      <category>pidantic</category>
      <category>python</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://towardsdatascience.com/a-neanderthals-guide-to-apache-spark-in-python-9ef1f156d427&#34;&gt;https://towardsdatascience.com/a-neanderthals-guide-to-apache-spark-in-python-9ef1f156d427&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>About - Academic Torrents</title>
      <link>https://gbilder.com/bookmarks/01M4EHRQQNHGH296RA7J9YK6C8/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRQQNHGH296RA7J9YK6C8/</guid>
      <pubDate>Tue, 14 Jan 2020 00:32:04 +0200</pubDate>
      <category>bigdata</category>
      <category>research</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;http://academictorrents.com/about.php&#34;&gt;http://academictorrents.com/about.php&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>DeepDive</title>
      <link>https://gbilder.com/bookmarks/01M4EHRJQQ0XSBJ1DTM0M0NE3N/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRJQQ0XSBJ1DTM0M0NE3N/</guid>
      <pubDate>Sun, 22 Nov 2015 19:30:25 +0200</pubDate>
      <category>bigdata</category>
      <category>tryme</category>
      <category>ml</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;http://deepdive.stanford.edu/&#34;&gt;http://deepdive.stanford.edu/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Richie | Data is not an asset, it’s a liability</title>
      <link>https://gbilder.com/bookmarks/01M4EHRJN876BKHGJ5WCSTKCZM/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRJN876BKHGJ5WCSTKCZM/</guid>
      <pubDate>Thu, 15 Oct 2015 14:16:04 +0200</pubDate>
      <category>bigdata</category>
      <category>open-api</category>
      <category>anti-pattern</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://www.richie.fi/blog/data-is-a-liability.html&#34;&gt;https://www.richie.fi/blog/data-is-a-liability.html&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>19 Free Public Data Sets For Your First Data Science Project | SlideRule</title>
      <link>https://gbilder.com/bookmarks/01M4EHRJN4QD6EGZF27VMK88NW/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRJN4QD6EGZF27VMK88NW/</guid>
      <pubDate>Wed, 14 Oct 2015 18:57:01 +0200</pubDate>
      <category>bigdata</category>
      <category>reference</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;https://www.mysliderule.com/blog/free-public-data-sets-data-science-project/?__s=atijywgwsusv7a2xfbee&#34;&gt;https://www.mysliderule.com/blog/free-public-data-sets-data-science-project/?__s=atijywgwsusv7a2xfbee&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>The New Thing in Google Flu Trends Is Traditional Data - NYTimes.com</title>
      <link>https://gbilder.com/bookmarks/01M4EHRHN9B4XFNGV0EYSKVPR9/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRHN9B4XFNGV0EYSKVPR9/</guid>
      <pubDate>Sat, 01 Nov 2014 11:25:02 +0200</pubDate>
      <category>four-strawmen</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;http://mobile.nytimes.com/blogs/bits/2014/10/31/the-new-thing-in-google-flu-trends-is-traditional-data/?referrer=&#34;&gt;http://mobile.nytimes.com/blogs/bits/2014/10/31/the-new-thing-in-google-flu-trends-is-traditional-data/?referrer=&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
    <item>
      <title>Science’s Big Data Problem | Innovation Insights | WIRED</title>
      <link>https://gbilder.com/bookmarks/01M4EHRHD19QFMZQVEV42FJ2B4/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRHD19QFMZQVEV42FJ2B4/</guid>
      <pubDate>Wed, 27 Aug 2014 12:53:07 +0200</pubDate>
      <category>four-strawmen</category>
      <category>bigdata</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;http://www.wired.com/2014/08/sciences-big-data-problem/&#34;&gt;http://www.wired.com/2014/08/sciences-big-data-problem/&lt;/a&gt;&lt;/p&gt;&#xA;  &lt;div class=&#34;e-content&#34;&gt;&lt;p&gt;Self-serving blather&lt;/p&gt;&lt;/div&gt;&#xA;</description>
    </item>
    <item>
      <title>The Hidden Biases in Big Data - Kate Crawford - Harvard Business Review</title>
      <link>https://gbilder.com/bookmarks/01M4EHRH0FMDYWPDV4FPJMGGH7/</link>
      <guid>https://gbilder.com/bookmarks/01M4EHRH0FMDYWPDV4FPJMGGH7/</guid>
      <pubDate>Tue, 10 Jun 2014 15:37:45 +0200</pubDate>
      <category>bigdata</category>
      <category>four-strawmen</category>
      <description>&#xA;  &lt;p class=&#34;bafflegab-bookmark&#34;&gt;Bookmarked &lt;a class=&#34;u-bookmark-of&#34; href=&#34;http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data/&#34;&gt;http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data/&lt;/a&gt;&lt;/p&gt;&#xA;</description>
    </item>
  </channel>
</rss>
