The egress field in the HPE ML 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 ML Data Management pushes the data to the specified destination.
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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"
},