Configuring an Amazon EMR Serverless Runtime Role
Автор: James Coffey
Загружено: 2024-06-17
Просмотров: 331
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Welcome back to our series on building an end-to-end ML pipeline. This is the fourth video in our series. Today, we will focus on setting up an Amazon EMR Serverless Runtime role for our pipeline.
In this video, we'll cover:
Creating trust and access policies in AWS IAM to allow the EMR Serverless cluster to interact with our S3 buckets.
Setting up the Runtime role for EMR Serverless and attaching our policies to grant necessary permissions.
Follow along as we walk through the process step-by-step to ensure your EMR Serverless environment is configured correctly.
To enhance your learning experience, make sure to check out these additional resources:
GitHub Repository: https://github.com/JamesFCoffey/malwa...
Medium Blog Series: / building-an-end-to-end-ml-pipeline-for-mal...
Stay tuned for the next video where we will finish up our Amazon IAM activities by modifying the MWAA execution role to securely access and manage our AWS resources.
Don’t forget to follow me on X (Twitter) for updates and more insights: https://x.com/coffeyjam
Thank you for watching! Make sure to like, subscribe, and click the notification bell so you don’t miss any updates in our journey to build a comprehensive ML pipeline. See you in the next video!
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