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.
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.