
Define the data steward role in Ataccama ONE through its four core responsibilities — define, monitor, act, report — and learn how it differs from data owner, expert, and consumer roles.
Learn to assign the Steward, Owner, and Expert roles to catalog items and business terms in Ataccama ONE, and decide when ownership should go to an individual versus a group.
Create, assign, filter, and close governance tasks in Ataccama ONE's task queue, and see how linked assets and status changes build an auditable record of stewardship work.
Walk through Ataccama ONE's approval state machine — Draft, In Review, Approved, Rejected, Published — submitting and approving a term, then handling a rejection and resubmission.
Set up users and groups in Ataccama ONE, distinguishing system roles like Admin and Data Steward from asset-level governance roles that drive task routing and approvals.
Map governance trigger events — new imports, term creation, DQ score drops, schema changes — to the right workflow response, and design a workflow pattern for a common scenario.
Use Ataccama ONE's ownership coverage, task completion rate, approval cycle time, and DQ trend metrics to measure and report on your governance programme's health.
This course contains the use of artificial intelligence.
Being a data steward is one of the least well-defined roles in any organisation. You have been given the title, but what does it mean in practice — especially inside Ataccama ONE? This course closes that gap with a concrete, repeatable stewardship practice.
This course gives you the practical playbook. You will learn what a data steward's responsibilities actually are, how to assign and track data ownership, how to manage governance tasks so work does not fall through the cracks, how to set up approval workflows so that nothing gets published without the right sign-off, and how to configure the users, roles, and teams that make governance scalable.
What you will build by the end of this course:
- Ownership assignments across your governed catalog assets
- Working task workflows for stewardship activities
- Approval workflows that control what gets published to the business glossary and catalog
- A role and team structure that mirrors your organisation's governance model
- Governance workflow patterns you can reuse across projects
- A governance maturity measurement approach with built-in Ataccama ONE reporting
Prerequisites: UDY01 and UDY02.
What to take next: UDY05 (AI-Powered Data Governance) to see how AI can accelerate the stewardship tasks you have just learned to do manually.