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Using R for scalable data analytics_ From single machines to Hadoop Spark clusters Presentation.pdf

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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 data you can use any function from base R or any R package. (Several common R packages are provided in the environment, or you can upload and install other packages directly, or use the checkpoint package to install everything you need Read more↗

Size4.03MB
Content typeapplication/pdf
Updated1 year ago
Checked2 months ago
Hostcdn.oreillystatic.com
Keywordsusing for scalable data analytics from single machines to hadoop spark clusters presentation pdf
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