AWS Orbit Workbench (Open Source) at HRS, Amazon EMR Serverless, EMR Studio, and Kale for Kubeflow

Опубликовано: 27 Октябрь 2024
на канале: Generative AI on AWS

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RSVP Webinar: https://www.eventbrite.com/e/webinark...

[00:00:00} Talk #0: Introductions and Meetup Announcements By Chris Fregly and Antje Barth

[00:01:50] Talk #1: AWS Orbit Workbench at HRS

Speakers:
Igor Holovii, Adithya Pathipaka, Olalekan Elesin, HRS Group

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-w...

[00:30:35] Demo #1: AWS Orbit Workbench (Open Source)

[00:37:05] Talk #2: Amazon EMR Serverless and EMR Studio by Damon Cortesi, Principal Developer Advocate for EMR and Analytics @ AWS

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. Also see how EMR Studio can be used as a fully managed Jupyter notebook environment for data exploration and analysis.

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

[01:05:10] EMR Studio Demo

[01:16:57] Talk #3: "Notebooks-to-Pipelines" using Kale for Kubeflow by Trevor Grant, Director of Developer Relations at Arrikto and Author of the O'Reilly book "Kubeflow for Machine Learning: From Lab to Production"

GitHub:
https://github.com/kubeflow-kale/kale

RSVP Webinar: https://www.eventbrite.com/e/webinark...

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

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