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iamp;#39;m peter higgins and iamp;#39;m going to be talking about using the arrow and duct db packages to wrangle bigger than ram medical data sets of over 60 million rows with a bit about data table motivating problem was open payments data from the center of medicaid and medicare services iamp;#39;m going to talk about the limits of r and speed in ram the aero package the duct tv package and generally about wrangling very large data and you can see this includes 12 million records per year and a total dollar value of 10.9 billion in 2021. i usually analyze smallish data sets carefully collected and validated data of 500 to 1000 rows maybe 10 000 rows on a big project but digital data which we increasingly have access to from cms or clinical data warehouses can give us much bigger data easily over 100 billion rows often greater than 50 gigabytes which doesnamp;#39;t fit in an email but it also doesnamp;#39;t always work well in r which was designed for data in ram the motivating
