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Learn how Meta implements large-scale data classification systems in this 18-minute conference talk from PEPR '25. Explore the comprehensive approach to assigning metadata about data semantics, actors, and attributes through a structured taxonomy that supports categorization based on data nature and regulatory requirements. Discover how this classification framework enables various privacy policies including access control, deletion protocols, and purpose limitation enforcement. Examine the bytes-up methodology used to scan data, extract features, and infer taxonomic labels, while understanding the challenges associated with different data storage patterns, classification approaches, and quality measurement techniques. Gain insights into the practical implementation of data governance at one of the world's largest technology companies and the complexities involved in managing data classification at scale.