Accessing Ozone storage

In Cloudera Machine Learning, (CML) you can connect CML to the Ozone object store using a script or command line commands.

Creating an Ozone data connection
Cloudera Machine Learning (CML) supports data connections to Ozone file systems.
Connecting to Ozone filesystem
In Cloudera Machine Learning (CML), you can connect Spark to the Ozone object store with a script.
Accessing local files in Ozone
You can access files in Ozone on a local file system using hdfsCLI. This method works with both legacy engines and runtime sessions.
Connecting to external Amazon S3 buckets
Every language in Cloudera Machine Learning has libraries available for uploading to and downloading from Amazon S3.