Spike - Prototype Azure ML workspace with pipeline components for data retrieval.

Azure Machine Learning

1. Create a workspace.
2. Configure workspace storage and key vault.
3. Add datasets for input sources.
4. Create an app registration for connecting with Azure ML workspace.
5. Add key vault admin privileges for current user.
6. Add service principal for app registration access to Azure ML workspace.
7. Create an environment within the workspace.
8. Add components with notebooks for dataset read.
9. Add components with notebooks for regression calculation.
10. Add components with notebooks for graphing regression predictions and regression best-fit line.