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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/06/sparklyr-r-server.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>The <a rel="nofollow" href="http://spark.rstudio.com/" target="_blank">sparklyr package</a> (by RStudio) provides a high-level interface between R and Apache Spark. Among many other things, it allows you to filter and aggregate data in Spark using the dplyr syntax. In <a rel="nofollow" href="https://msdn.microsoft.com/en-us/microsoft-r/rserver-whats-new#interoperability-with-sparklyr" target="_blank">Microsoft R Server 9.1</a>, you can now connect to a a Spark session using the sparklyr package as the interface, allowing you to combine the data-preparation capabilities of sparklyr and the data-analysis capabilities of Microsoft R Server in the same environment.</p>
<p>In a presentation by at the Spark Summit (embedded below, and you can <a rel="nofollow" href="https://www.slideshare.net/databricks/extending-the-r-api-for-spark-with-sparklyr-and-microsoft-r-server-with-ali-zaidi" target="_blank">find the slides here</a>), Ali Zaidi shows how to connect to a Spark session from Microsoft R Server, and use the sparklyr package to extract a data set. He then shows how to build predictive models on this data (specifically, a deep Neural Network and a Boosted Trees classifier). He also shows how to build general ensemble models, cross-validate hyper-parameters in parallel, and even gives a preview of forthcoming streaming analysis capabilities.</p>
<p><iframe width="450" allowfullscreen src="https://www.youtube.com/embed/8-xvKlz26vg?rel=0"></iframe></p>
<p>Any easy way to try out these capabilities is with <a rel="nofollow" href="https://azure.microsoft.com/en-us/blog/announcing-general-availability-of-azure-hdinsight-3-6/" target="_blank">Azure HDInsight 3.6</a>, which provides a managed Spark 2.1 instance with Microsoft R Server 9.1.</p>
<p>Spark Summit: <a rel="nofollow" href="https://spark-summit.org/2017/events/extending-the-r-api-for-spark-with-sparklyr-and-microsoft-r-server/" target="_blank">Extending the R API for Spark with sparklyr and Microsoft R Server</a></p>
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