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Things to Learn About: *How Sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory, *How Sparklyr llows data scientists to use dplyr to translate R code into Spark SQL, and *How Sparklyr supports MLlib so data scientists can run classifiers, regressions, and many other machine learning algorithms in Spark.

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