BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Jul 23·5 min read
Connect Amazon S3 data to Databricks with Delegated IAM Permissions
TL;DR
Databricks has streamlined the process of connecting Amazon S3 to its platform by introducing a new flow using AWS IAM temporary delegation. This simplifies the setup, allowing users to focus on data intelligence rather than infrastructure management.
✦ Why It Matters
Start using the new AWS IAM delegation flow to simplify your S3 connection setup in Databricks today.
Key Takeaways
- Use the new automated setup to connect S3 to Databricks easily.
- Leverage AWS IAM temporary delegation for secure access management.
- Create external locations in Unity Catalog with minimal configuration.
- Enhance data governance and analytics capabilities with LTAP architecture.
How It Works
The new connection flow allows users to specify their S3 bucket and access level, prompting them to log into AWS for permission verification. If authorized, users can grant Databricks temporary access to provision resources, streamlining the setup process.