AWS San Francisco Big Data Meetup | Introduction to SparkR
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27.05.16 – 62625:37Популярные
23 дня – 1 1236:05
5 дней – 38023:46Опубликовано 26 мая 2016, 23:27
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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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