During this workshop, see how to visually browse, discover, and connect to Apache Spark data processing environments running on Amazon EMR from your Amazon SageMaker Studio Notebook with a few clicks. Once connected, you can interactively query, explore, and visualize data, and run and debug Spark jobs. You will learn how to build end-to-end data preparation and ML workflows on SageMaker Studio.
Learning Objectives:
* Objective 1: Understand how to use Amazon SageMaker Studio with Amazon EMR
* Objective 2: See how to easily add big data to ML workflows
* Objective 3: Learn how to prepare data using Amazon SageMaker Studio
***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
Learning Objectives:
* Objective 1: Understand how to use Amazon SageMaker Studio with Amazon EMR
* Objective 2: See how to easily add big data to ML workflows
* Objective 3: Learn how to prepare data using Amazon SageMaker Studio
***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
- Category
- AWS Developers
- Tags
- Apache Spark, ML models, SageMaker
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