Metadata provides descriptive information about data—such as file type, creation date, owner, and tags—making it much more efficient for quickly locating and categorizing data compared to the more resource-intensive process of content analysis.
Labels can indeed be useful for data discovery, but they typically need to be applied manually or through less consistent processes. Metadata, on the other hand, is automatically generated and includes a wide range of details (like file size, creation date, file type, and sometimes even labels). This breadth of information makes metadata a more efficient and comprehensive method for automated data discovery, as it doesn’t rely solely on the presence of human-assigned labels.
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