Metadata is the data that describes information: language, who it is for, the source etc.
Attribute data is composed of the attribute name and attribute value for example:
"Color=red" where color is the attribute name and red is the attribute value.
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Metadata describes the characteristics of data, such as its format, source, and creation date, while attribute data provides specific values and properties of the data, such as the size, color, or location. Metadata is essentially data about the data, providing context and information on how to interpret and use the data, while attribute data is the actual content or values within the dataset.
"Metadata" defines the structure of the data stored.
Data about other data is metadata.
Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
Metadata is "data about data". It is used for two fundamentally different concepts. Structural metadata is about the design and specification of data structures. Descriptive metadata, is about individual instances of application data, the data content.
Metadata refers to data that describes or provides information about other data. It includes details such as the size, format, and creation date of a file, as well as information about the author, location, and keywords associated with a document. Metadata helps organize and manage data, making it easier to search, retrieve, and understand.