Activate Data Source

Use this skill when onboarding or enabling a new data source in an application, ETL pipeline, or analytics platform.

When to Use

• A new source (database/API/file feed) must be connected and enabled.
• You need to validate credentials, schema alignment, and access scope before activation.
• You want a repeatable preflight checklist to reduce runtime failures.

Workflow

1. Identify source type, environment (dev/staging/prod), and owner.
2. Validate authentication and least-privilege access.
3. Test network connectivity and query/read permissions.
4. Compare source schema to expected contract (types, nullability, keys).
5. Define mapping and transformations (field names, timezones, enums).
6. Run a limited ingestion dry-run and inspect errors.
7. Set monitoring (error rate, lag, throughput) and alert thresholds.
8. Activate behind a flag or staged rollout when possible.

Common Checks

• Credentials and token expiry policy
• Rate limits and retry strategy
• PII/sensitive field handling and masking
• Idempotency and duplicate prevention
• Backfill strategy and replay behavior

Output

• Activation checklist with pass/fail status
• Risks and blockers, with recommended fixes
• Go/no-go recommendation and rollout plan