Docker images
You can set up a DataSphere project environment on your own by using a Docker image
You cannot change Docker images after you create them.
Like other DataSphere resources, a Docker image can be published in a community and used in multiple projects. You can share Docker images of a DataSphere project where you have the Admin
role. Images can be shared with any community that you are a member of with the Admin
role. For more information, see Access management in DataSphere.
For more information about working with Docker images, see Working with Docker images.
Docker image requirements
For a Docker image to run and work correctly in DataSphere, it must comprise:
- Python 3.7, 3.8, 3.9, or 3.10 installation
- Pip installation
--uid 1000
Jupyter user
Tip
The Docker Hub
- Create a subnet.
- Create an egress NAT gateway.
- Create a service account with the
vpc.user
role. - In the project settings, add the subnet and service account.
You can also use basic images from other libraries.
Note
The Docker image templates available in DataSphere already meet these requirements. If you are downloading an image from a third-party source or writing your own, include the required commands.