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![]() If you have something in production that needs updates, then you could presumably create a python script or JVM program to read your RDS file periodically and generate a revised extract. ![]() You could use that library to generate a Tableau Data Extract instead of a CSV file. If that gets the effect you want, but you just want to automate more of the steps, then take a look at the Tableau Data Extract API. I know that's not sexy, but its always good to make sure you've got a way to get the output result you need before investing time in optimizing the process. If what you want to do is to manipulate data in R and then send a table of data to Tableau for visualization, you could first try the simple step of exporting the data from R as a CSV file and then visualizing that data in Tableau. ![]() (Note, that link is to the version 8.1 docs released in late 2013 - so look for the latest version to see what functionality they've added since) Just pointing out that the Tableau Data Extract API might be useful here, even if the current version of R integration doesn't yet meet your needs.
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