Felipe Hoffa

Developer Advocate

Google, US

Speaking In

The personal and the public: protecting sensitive data in huge datasets

When releasing a public dataset, practitioners need to walk a fine line between utility and the protection of individuals.

Felipe moves us from theory to the real life practicalities of handling massive public datasets, showcasing newly available cloud-based tools that help with the detection of personal information, and bringing concepts like k-anonymity and l-diversity into context.