LARGE-SCALE DATA GRAPH: SCALE AND OPTIMIZE PRIVACY & SECURITY IN OFFLINE DATA SYSTEMS

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


To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy