Build a short workflow that reads, validates, and exports a sample before adding more transformations. Name nodes by their purpose and annotate branches that encode business rules. Keep source credentials outside reusable examples, and confirm deployment requirements separately if the workflow must run unattended for a team.
This is best suited to analysts building repeatable data preparation workflows. Before committing a larger project, account for these trade-offs: complex workflows need documentation; managed sharing and enterprise services are separate.
