<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sparklyr on Yoke Keong</title><link>https://yokekeong.com/blog/sparklyr/</link><description>Recent content in Sparklyr on Yoke Keong</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 06 Jul 2016 17:00:50 +0000</lastBuildDate><atom:link href="https://yokekeong.com/blog/sparklyr/index.xml" rel="self" type="application/rss+xml"/><item><title>Running Apache Spark with sparklyr and R in Windows</title><link>https://yokekeong.com/running-apache-spark-with-sparklyr-and-r-in-windows/</link><pubDate>Wed, 06 Jul 2016 17:00:50 +0000</pubDate><guid>https://yokekeong.com/running-apache-spark-with-sparklyr-and-r-in-windows/</guid><description>&lt;p&gt;RStudio recently released the &lt;a href="http://spark.rstudio.com/"&gt;sparklyr package&lt;/a&gt; that allows users to connect to Apache Spark instances from R. In addition, this package offers dplyr integration, allowing you to utilize Spark as you use dplyr functions like &lt;code&gt;filter&lt;/code&gt; and &lt;code&gt;select&lt;/code&gt;, which is very convenient. The package will also assist you in downloading and installing Apache Spark if it is a fresh install. This post covers the local install of Apache Spark via sparklyr and RStudio in Windows 10.&lt;/p&gt;</description></item></channel></rss>