[Webinar] Amazon EMR Serverless & AWS Orbit Workbench

RSVP Webinar: https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154

Talk #0: Introductions and Meetup Announcements By Chris Fregly and Antje Barth

Talk #1: Amazon EMR Serverless

Speaker:
Damon Cortesi, Principal Developer Advocate with Amazon Web Services

Abstract:
Amazon EMR Serverless is a new option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run applications built using open-source frameworks such as Apache Spark, Hive, and Presto without having to configure, manage, optimize, or secure clusters. EMR Serverless automatically provisions and scales the compute and memory resources required by your applications, and you only pay for the resources that the applications use.

GitHub:
https://github.com/aws-samples/emr-serverless-samples

Talk #2: AWS Orbit Workbench

Abstract:
AWS Orbit Workbench is an open source framework that provides a single, unified experience for your data, analytics and machine learning projects. You can collaborate with your team in a secure environment, using a wide range of AWS and partner services to experiment, develop, test and deploy your workloads onto Kubernetes Clusters in production.

Link:
https://awslabs.github.io/aws-orbit-workbench/

RSVP Webinar: https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154

Zoom link: https://us02web.zoom.us/j/82308186562

Related Links
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O’Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com