AWS Big Data Meetup March 31 in San Francisco: Intro to SparkR and breakout discussions
Guest Speaker: Cory Dolphin from Twitter
Learn about how Answers, Fabric’s realtime analytics product, which processes billions of events in realtime, using Twitter’s new stream processing engine, Heron. Cory will explain some of the challenges the team faced while scaling Storm, and how Heron has helped them fly faster. Specifically, Cory will describe how Heron’s separation of message processing guarantees and backpressure propagation have allowed them to build, scale and tune high volume topologies.
Christopher Crosbie, Healthcare and Life Sciences Partner Solutions Architect for Amazon Web Services
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 teach us how easy and interactive cloud computing is with SparkR on Amazon EMR.
“Birds of a Feather” Discussions
After Chris’s discussion, we’ll break into groups to discuss topics of interest.
When & Where
Thursday, March 31 at 6 pm @ the AWS Pop Up Loft (925 Market Street, San Francisco, CA)
About AWS Big Data Meetups
The AWS Big Data Meetup brings Big Data developers and enthusiasts together to discuss Big Data solutions with each other and AWS team members. At the event you will hear speakers from AWS and the wider community who are pushing the boundaries of Big Data. We are committed to maintaining a technical focus, and invite you to participate as a guest or as a speaker. There will be food and plenty of time for one-on-one conversations.
Check out the video from an earlier meetup. Netflix talks about how they use Spark & Presto, and AWS speaker Rahul Bhartia discusses Hadoop Security.