<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Exasol on Bitfern</title>
    <link>/tags/exasol/</link>
    <description>Recent content in Exasol on Bitfern</description>
    <generator>Hugo</generator>
    <language>en-nz</language>
    <lastBuildDate>Thu, 20 Apr 2017 10:18:16 +0000</lastBuildDate>
    <atom:link href="/tags/exasol/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Makeover Monday, 2017 #16</title>
      <link>/blog/mom17-16/</link>
      <pubDate>Thu, 20 Apr 2017 10:18:16 +0000</pubDate>
      <guid>/blog/mom17-16/</guid>
      <description>&lt;p&gt;Week 16 and it’s back to some big data on &lt;!-- raw HTML omitted --&gt;EXASOL&lt;!-- raw HTML omitted --&gt; thanks to &lt;!-- raw HTML omitted --&gt;Eva &lt;!-- raw HTML omitted --&gt;and &lt;!-- raw HTML omitted --&gt;Johannes&lt;!-- raw HTML omitted --&gt;. This time over 750 million rows of GP practice prescribing data for the UK from 2010 – 2017. The nominal challenge to makeover some of the charts in a &lt;!-- raw HTML omitted --&gt;House of Commons research briefing&lt;!-- raw HTML omitted --&gt; based on the data.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Makeover Monday, 2017 #6</title>
      <link>/blog/mom17-6/</link>
      <pubDate>Tue, 07 Feb 2017 11:49:30 +0000</pubDate>
      <guid>/blog/mom17-6/</guid>
      <description>&lt;p&gt;Great fun exploring 105 &lt;em&gt;million&lt;/em&gt; rows of Chicago taxi data for &lt;!-- raw HTML omitted --&gt;#MakeoverMonday&lt;!-- raw HTML omitted --&gt; this week using the data underpinning &lt;!-- raw HTML omitted --&gt;this article&lt;!-- raw HTML omitted --&gt;. The full data set was provided on a hosted &lt;!-- raw HTML omitted --&gt;Exasol&lt;!-- raw HTML omitted --&gt; database, purported to be the fastest in-memory analytic database in the world (and it was pretty fast considering the amount of data I was querying from the opposite side of the world).&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
