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Proposed

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.

Intermediate · 2 hours · January 19, 2027 · June 3, 2026
#privacy#analytics#product

Description

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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.

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.

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Proposal Details

Status
Proposed
Difficulty
Intermediate
Duration
2 hours
Target date
January 19, 2027
Created
June 3, 2026