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The Microsoft R Server Tiger Team 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 Microsoft R Server:

• Gather metadata and exlore numeric summaries of large data sets held in XDF files
• Filter XDF files with regular expression matching using the rxDataStep function in the RevoScaleR package
• Import DBase .dbf files into Microsoft R Server as an XDF file
• Optimize performance when using rxExec to parallelize R code across a server or cluster
• Perform various data wrangling tasks on XDF files, including aggregations, merges, and calculating column-level statistics
• Confine Microsoft R Server computations to a subset of a Hadoop cluster using node labels
• Quantify risk associated with loans, via in-database model scoring with SQL Server R Services

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.

MSDN: Microsoft R Server Tiger Team 

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