<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Integration on Ryan Orban</title><link>https://ryanorban.com/categories/integration/</link><description>Recent content in Integration on Ryan Orban</description><generator>Hugo</generator><language>en-us</language><managingEditor>me@ryanorban.com (Ryan Orban)</managingEditor><webMaster>me@ryanorban.com (Ryan Orban)</webMaster><copyright>Ryan Orban</copyright><lastBuildDate>Tue, 07 Jan 2014 00:00:00 +0000</lastBuildDate><atom:link href="https://ryanorban.com/categories/integration/index.xml" rel="self" type="application/rss+xml"/><item><title>An Easy Way to Bridge Between Python and Vowpal Wabbit</title><link>https://ryanorban.com/notes/python-vowpal-wabbit-bridge/</link><pubDate>Tue, 07 Jan 2014 00:00:00 +0000</pubDate><author>me@ryanorban.com (Ryan Orban)</author><guid>https://ryanorban.com/notes/python-vowpal-wabbit-bridge/</guid><description>&lt;h3 id="summary" class="scroll-mt-8 group"&gt;
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&lt;p&gt;This post shows how to use Python as a driver for Vowpal Wabbit by calling it as a subprocess and piping data through stdin/stdout. In 2014, there was no stable native Python binding for VW — the standard approach was to call the VW binary from Python using &lt;code&gt;subprocess&lt;/code&gt;, format your data as VW&amp;rsquo;s input format, and parse the output predictions back into Python objects.&lt;/p&gt;</description></item><item><title>The Big Challenge of Big Data and Hadoop Integration</title><link>https://ryanorban.com/notes/big-challenge-hadoop-integration/</link><pubDate>Sun, 17 Mar 2013 00:00:00 +0000</pubDate><author>me@ryanorban.com (Ryan Orban)</author><guid>https://ryanorban.com/notes/big-challenge-hadoop-integration/</guid><description>&lt;p&gt;&lt;img
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&lt;p&gt;While much of the 2013 big data discourse focused on what Hadoop could do, this Cloud Computing Journal piece addressed a harder problem: how do you integrate Hadoop into an existing enterprise data environment? Most enterprises adopting Hadoop weren&amp;rsquo;t replacing their RDBMS systems — they were adding Hadoop alongside Oracle, SQL Server, and existing data warehouse infrastructure.&lt;/p&gt;</description></item></channel></rss>