Data Infrastructure for Learning

Practical guidance on pipelines, event taxonomies, instrumentation, and making trustworthy data products for experiments and team learning.

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Reference

Data Infrastructure for Learning — Event Taxonomy & Instrumentation Starter

A practical, ready-to-adopt starter event taxonomy, naming conventions, required attributes, privacy considerations, and an instrumentation QA checklist to produce dependable, testable data products for experiments, dashboards, and learning workflows.

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Experiments Repository Schema & Minimal API

A recommended schema for storing experiments and a minimal API contract teams can use to integrate experiment metadata with dashboards and search.

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