As part of the data science projects and model serving UI, we want to enable users to create data sources or connections. For example, a user might create a connection to an S3 account that could be used to store data for model training or models for serving. The idea is that they can create these connections within a project so they can be used when starting a NB server or deploying a model. We want users to be able to set this up once and easily reuse it so they don't have to repeatedly enter the same info to connect to a data source. 

Reqs:

1. P0: Users must be able to create one or more data connections to S3 sources within a data science project.
2. P0: When starting a NB server session, users must be to select one or more saved data connections to use in the session. By selecting a saved data connection, users should be able to access the data source in Jupyter notebooks without having to re-enter any of the info to connect to the data source.
3. P0: When serving/deploying a model users must able to select a saved data connection to retrieve a saved model. By selecting a saved data connection in this flow, users should be able to access the data source without having to re-enter any of the info required to connected to the data source. 
4. P0: Users must be able to view, add, edit and delete data connections. 
5. P2: Users must be able to set up data connections to Starburst, RHODA connectors and TBD multi-cloud gateway (Nooba).