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Large-Scale Data Graph: Scale and Optimize Privacy & Security in Offline Data Systems
with Can Lin and David Taieb, Meta

Meta operates large-scale offline data systems across Data Warehouse, Stream Data Processing and Monitoring & Observability. Privacy, security, and other cross-cutting management and governance concerns are critical in the data infrastructure. This talk explains how we map out the offline data systems using unified metadata representation of assets and link them through the relationships and flow of information into a giant graph, which we call “Data Graph”, and apply it to privacy and security.