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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/01/tiger-team-tips.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 target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/">Microsoft R Server Tiger Team</a> assists customers around the world to implement large-scale analyytic solutions. Along the way, they discover useful tips and best practices, and share them on the Tiger Team blog. Here are a few recent tips from the Tiger Team on using <a target="_blank" rel="nofollow" href="https://www.microsoft.com/en-us/cloud-platform/r-server">Microsoft R Server</a>:</p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/12/28/data-exploration-in-xdf-files-using-scaler-functions/">Gather metadata and exlore numeric summaries of large data sets held in XDF files</a></li>
<li><a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/11/16/pattern-matching-microsoft-r-server/">Filter XDF files with regular expression matching</a> using the rxDataStep function in the RevoScaleR package</li>
<li><a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/11/16/importing-dbf-files-in-microsoft-r-server/https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/11/16/importing-dbf-files-in-microsoft-r-server/">Import DBase .dbf files into Microsoft R Server as an XDF file</a></li>
<li><a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/11/14/performance-optimization-when-using-rxexec-to-parallelize-algorithms/">Optimize performance when using rxExec to parallelize R code across a server or cluster</a></li>
<li><a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/11/06/data-wrangling-in-xdf-files-using-scaler-functions/">Perform various data wrangling tasks on XDF files</a>, including aggregations, merges, and calculating column-level statistics</li>
<li><a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/10/14/microsoft-r-server-label-based-scheduling-on-hortonworks/">Confine Microsoft R Server computations to a subset of a Hadoop cluster</a> using node labels</li>
<li><a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/2016/09/27/loan-classification-using-sql-server-2016-r-services/">Quantify risk associated with loans</a>, via in-database model scoring with SQL Server R Services</li>
</ul>
<p>For more tips, including tips on operationalizing R scripts and using Microsoft R Server with data platforms including Teradata and Cloudera, check out thre Tiger Team blog at the link below.</p>
<p>MSDN: <a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/microsoftrservertigerteam/">Microsoft R Server Tiger Team</a> </p>
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