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Data API Design for Analysts
Expose datasets safely with pagination, filters, and row-level rules.
₩1,280,000 · 7 weeks · Intermediate
Request informationOverview
Design read-heavy APIs for analytics consumers: cursor pagination, field masks, and row-level access without leaking PII.
What is included
- Cursor vs offset pagination tradeoffs
- Field selection and sparse fieldsets
- Row-level security patterns
- Export job APIs for large datasets
- Caching and ETag strategies
- Documentation for data consumers
Outcomes
- Ship a read API with RLS stubs
- Document analyst onboarding guide
- Load-test export endpoints
Mentor
Eun-ji Lee
Data platform mentor for analyst-facing APIs.
FAQ
SQL knowledge?
Comfort writing SELECT queries is expected.
BI tools?
We connect sample dashboards in Metabase; licenses not included.
Not covered?
Real-time streaming analytics APIs are a separate cohort.
Reviews
"Row-level security section finally clicked — used the checklist on our metrics API."