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Databricks for RStudio users
The goal of this series is to help R users understand if and how they can do in Databricks the things they commonly do in RStudio. I’ll point to some frictions I see as an RStudio user new to Databricks.
At the end of this series you’ll be able to do things like this:
Add folders, .R files and notebooks to your Workspace.
Work with Git and GitHub.
Create a spark dataframe from a table in the Databricks Catalog.
Run jobs.
Create a cluster with RStudio installed in it.
Who is the audience?
Analysts used to RStudio.
Why is this important?
Databricks is like a racing car. It’s great for racing but for an RStudio user it may not be a confortable everyday car. Understanding what you can and shouldn’t do with Databricks will save you time and frustration.
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