sparklyr is a great opportunity for R users to leverage the distributed computation power of Apache Spark without a lot of additional learning. sparklyr acts as the backend of dplyr so that R users can write almost the same code for both local and distributed calculation over Spark SQL. Since sparklyr v0.6, we can run R code across our Spark cluster with spark_apply(). Read more The post How to Distribute your R code with sparklyr and Cloudera Data Science Workbench appeared first on Cloudera Engineering Blog.
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CDH,How-to,Spark,analysis,Apache Spark,Cloudera Data Science Workbench,data,data analysis,Data Science,how-to,python,sparklyr
CDH,How-to,Spark,analysis,Apache Spark,Cloudera Data Science Workbench,data,data analysis,Data Science,how-to,python,sparklyr
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