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(This article was first published on <strong><a href="http://datascience.la/meetup-stream-processing-with-r-in-aws/"> R – Data Science Los Angeles</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><span><strong>Update: Slides <a target="_blank" rel="nofollow" href="http://cardcorp.github.io/card-open-source/assets/slides/AWR/2017-03-07%20LA%20R%20User%20Group/AWR.pdf">click here</a>.</strong></span></p>
<p><strong>Stream processing with R in AWS</strong><br>
<strong>by Gergely Daróczi</strong></p>
<p>Abstract: R is rarely mentioned among the big data tools, although it’s fairly well scalable for most data science problems and ETL tasks. This talk presents an open-source R package to interact with Amazon Kinesis via the MultiLangDaemon bundled with the Amazon KCL to start multiple R sessions on a machine or cluster of nodes to process data from theoretically any number of Kinesis shards. Besides the technical background and a quick introduction on how Kinesis works, this talk will feature some stream processing use-cases at CARD.com, and will also provide an overview and hands-on demos on the related data infrastructure built on the top of Docker, Amazon ECS, ECR, KMS, Redshift and a bunch of third-party APIs.</p>
<p>Bio: Gergely Daróczi is an enthusiast R user and package developer, founder of an R-based web application at rapporter.net, Ph.D. candidate in Sociology, Director of Analytics at CARD.com with a strong interest in designing a scalable data platform built on the top of R, AWS and a dozen APIs. He maintains some CRAN packages mainly dealing with reporting and API integrations, co-authored a number of journal articles in social and medical sciences, and recently published the “Mastering Data Analysis with R” book at Packt.</p>
<p><strong>Timeline:</strong></p>
<p>– 6:30pm arrival, food/drinks and networking<br>
– 7:30pm talks<br>
– 9 pm more networking</p>
<p>You must have a confirmed RSVP and please arrive by 7:25pm the latest. Please <a target="_blank" rel="nofollow" href="https://www.eventbrite.com/e/stream-processing-with-r-in-aws-tickets-31921999560#">RSVP here on Eventbrite</a>.</p>
<p><strong>Venue:</strong> Edmunds, 2401 Colorado Avenue (this is Edmunds’ NEW LOCATION, don’t go to the old one)<br>
Park underneath the building (Colorado Center), Edmunds will validate.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://datascience.la/meetup-stream-processing-with-r-in-aws/"> R – Data Science Los Angeles</a></strong>.</div>
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