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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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Related Resources

Analyzing Hadoop Data Using Sparklyr
 Webinar Slides Friday, Jan 27 2017
Deep Learning: A Guide for Enterprise Architects Monday, Sep 18 2017
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