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Databricks with R: Deep Dive

Databricks with R: Deep Dive

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In this presentation we’ll explain how to use the R programming language with Spark using a Databricks notebook and the SparkR package. We’ll discuss how to push data wrangling to the Spark nodes for massive scale and how to bring it back to a single node so we can use open source packages on the data. We’ll demonstrate converting SQL tables into R distributed data frames and how to convert R data frames to SQL tables. We’ll also have a look at how to train predictive models using data distributed over the Spark nodes. Bring your popcorn. This is a fun and interesting presentation.
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