Planning to implement data governance
To make a plan to implement Watson Knowledge Catalog, first understand the choices that you have, the implications of those choices, and how those choices affect the order of implementation tasks.
You can implement data governance with the strategy that suits your business.
- Iteratively implement data governance during productive use
- You implement data governance while data scientists and other data consumers are working on the platform.
- Fully implement data governance before productive use
- You fully implement data governance in a test environment. When your testing is complete, you put the platform into production and invite data scientist and other data consumers to the platform.
Regardless of which strategy you use, some decisions are irrevocable and some processes are recurring.
You can complete these main tasks to create a plan to implement Watson Knowledge Catalog:
|Planning to set up Watson Knowledge Catalog||Some tasks are mandatory.||Some tasks must be completed during setup.|
|Planning to implement a governance framework||No||These tasks can be completed at any time.|
|Planning to protect data with rules||No||These tasks can be completed at any time.|
|Planning to curate data to share||Some tasks are mandatory.||Some tasks are recurring.|
|Planning to monitor Watson Knowledge Catalog||No||These tasks are recurring.|
You can perform most tasks with APIs instead of the UI. Links to Watson Data API are listed for each applicable task.
Parent topic: Data governance