Metadata harvesting is the process of automatically collecting and centralizing metadata from diverse and often disparate data sources, regardless of the underlying storage infrastructure. This involves systematically extracting descriptive information about files and objects, such as file names, sizes, creation dates, access times, user permissions, and custom tags, and consolidating it within a centralized metadata catalog. Access to this catalog provides comprehensive data visibility, searchability, governance, and analytics across an organization's entire data landscape, enabling insights and management independent of the specific storage solutions in use.