Designing Privacy-First Data Platforms

Building data platforms that respect privacy starts with minimization and strong access controls. We cover anonymization strategies, tokenization, consent frameworks, and secure analytics that allow teams to extract value without exposing sensitive personal data. The post includes an architecture blueprint and a checklist for privacy reviews.

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