<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/tutorial-build-a-live-rental-prediction-service-with-sql-server-r-services/"></div></div><div><a data-url="https://www.r-bloggers.com/tutorial-build-a-live-rental-prediction-service-with-sql-server-r-services/" data-counturl="https://www.r-bloggers.com/tutorial-build-a-live-rental-prediction-service-with-sql-server-r-services/" data-count="horizontal" data-text="Tutorial: Build a live rental prediction service with SQL Server R Services" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/11/r-services-intelligent-app.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>A great way to learn is by doing, so if you've been thinking about how to enable R-based computations within SQL Server, a new tutorial will take you through all the steps of building an intelligent application. In a few simple steps, you'll set up all the necessary software and code to build a live service that predicts demand for a ski rental shop.</p>
<p>The tutorial &quot;<a target="_blank" rel="nofollow" href="https://www.microsoft.com/en-us/sql-server/developer-get-started/r">Create a predictive model in SQL Server R Services</a>&quot; will step you through:</p>
<ul>
<li>Installing SQL Server, Microsoft R Client, and an IDE for R (RTVS or RStudio) on your Windows machine. All of the components are available for free from <a target="_blank" rel="nofollow" href="https://my.visualstudio.com/Downloads?q=SQL%20Server%202016%20Developer">Visual Studio Dev Essentials</a>.</li>
<li>Loading the provided ski-rental data, exploring the data, and building a model to predict number of rentals in R.</li>
<li>Creating a stored procedure to predict rentals from the date and the amount of snowfall.</li>
</ul>
<p><a target="_blank" rel="nofollow" href="https://www.microsoft.com/en-us/sql-server/developer-get-started/r"><img title="Connection" alt="Connection" src="http://a0.typepad.com/6a0105360ba1c6970c01bb09545b18970d-450wi"></a></p>
<p>The tutorial also links to a number of <a target="_blank" rel="nofollow" href="https://github.com/Microsoft/sql-server-samples/tree/master/samples/features/r-services/SSMS-Custom-Reports">SQL Server Management Studio custom</a> reports which will be helpful to R developers to manage R packages on the server, monitor R execution statistics, and more.</p>
<p>To get started with the tutorial, simply follow the link below. </p>
<p>SQL Server: <a target="_blank" rel="nofollow" href="https://www.microsoft.com/en-us/sql-server/developer-get-started/r">Build an intelligent app with SQL Server and R</a></p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2016/11/r-services-intelligent-app.html"> Revolutions</a></strong>.</div>
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