Export via Egress

The egress field in the HPE Machine Learning Data Management pipeline specification enables you to push the results of a pipeline to an external datastore such as Amazon S3, Google Cloud Storage, or Azure Blob Storage. After the user code has finished running, but before the job is marked as successful, HPE Machine Learning Data Management pushes the data to the specified destination.

Note
Make sure that your cluster has been configured to work with your object store.

Pick the egress protocol that applies to your storage:

Cloud Platform Protocol Example
Google Cloud Storage gs:// gs://gs-bucket/gs-dir
Amazon S3 s3:// s3://s3-endpoint/s3-bucket/s3-dir
Azure Blob Storage wasb:// wasb://default-container@storage-account/az-dir

Example 

"egress": {
   "URL": "s3://bucket/dir"
},