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Tutorial: Azure Data Lake analytics with R

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The Azure Data Lake store is an Apache Hadoop file system compatible with HDFS, hosted and managed in the Azure Cloud. You can store and access the data within directly via the API, by connecting the filesystem directly to Azure HDInsight services, or via HDFS-compatible open-source applications. And for data science applications, you can also access the data directly from R, as this tutorial explains.  To interface with Azure Data Lake, you’ll use U-SQL, a SQL-like language extensible using C#. The R Extensions for U-SQL allow you to reference an R script from a U-SQL statement, and pass data from Data Lake into the R Script. There’s a 500Mb limit for the data passed to R, but the basic idea is that you perform the main data munging tasks in U-SQL, and then pass the prepared data to R for analysis. With this…
Original Post: Tutorial: Azure Data Lake analytics with R