jupyterlab-s3-browser
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Support for more than one bucket and S3 service
In data lake applications it is common practice to support multiple zones, such as a raw zone, a curated zone and a published or consumption zone. Each may be represented by a different bucket with different access policies. Further, in some cases, the raw zone may be on-premises, while the consumption zone might be in the cloud, or vice-versa.
It would be valuable to enhance the s3-browser extension to allow the user to add additional buckets, each with their own endpoint and credentials.
Thanks for the suggestion! I agree, this would be a valuable feature. I'll see what I can do.