Privacy-Respecting Analytics: Events, Consent, Retention, and Data Quality
A practical two-hour session on Privacy-Respecting Analytics, focused on Events, Consent, Retention, and Data Quality. Attendees work through concrete engineering tradeoffs, review examples, and leave with a checklist they can apply in real team projects.
Description
section.descriptionA practical two-hour session on Privacy-Respecting Analytics, focused on Events, Consent, Retention, and Data Quality. Attendees work through concrete engineering tradeoffs, review examples, and leave with a checklist they can apply in real team projects.
Audience: entry-level and intermediate developers who want a practical engineering session with concrete tradeoffs and examples.
Outcomes:
- Explain the practical boundaries of Privacy-Respecting Analytics
- Apply Events in a small working example
- Apply Consent in a small working example
- Apply Retention in a small working example
Format: two hours with a short framing walkthrough, a concrete example, discussion of tradeoffs, and a closing checklist for practice.