Amazon Web Services782 тыс
Опубликовано 26 мая 2016, 23:27
Learn More: amzn.to/1TEU26d
For a long time, R users have sliced and diced their computational problems into smaller pieces to be able to run it in smaller chunks. But what if you want to compute on a huge dataframe with many CPUs? With SparkR on Amazon EMR, you can create huge dataframes that span many machines and take advantage of computational resources on these machines in a natural and interactive way. Chris Crosbie, a Solutions Architect with AWS and a statistician by training, will show us how easy and interactive cloud computing is with SparkR on Amazon EMR.
For a long time, R users have sliced and diced their computational problems into smaller pieces to be able to run it in smaller chunks. But what if you want to compute on a huge dataframe with many CPUs? With SparkR on Amazon EMR, you can create huge dataframes that span many machines and take advantage of computational resources on these machines in a natural and interactive way. Chris Crosbie, a Solutions Architect with AWS and a statistician by training, will show us how easy and interactive cloud computing is with SparkR on Amazon EMR.
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