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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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11y ago
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7mo ago

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.

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Q: Differences between metadata and attribute data?
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Related questions

Which of these is an example of a type of technology used to collect data-?

Metadata is "data about data". There are two "metadata types;" structural metadata, about the design and specification of data structures or "data about the containers of data"; and descriptive metadata about individual instances of application data or the data content.


Data about data is called what in a database?

"Metadata" defines the structure of the data stored.


What are data about data called?

Data about data are called metadata. See the related question "What are metadata?" for more details.


What is the differences between spartial data and attribute data?

Spartial data shows specific location of geographical phenomena in terms of coordinates whilst attribute data is non-spatial in that it does not use coordinates but only show what is on a point, line and polygon. by Wilkins Nyamangunda at Midlands State University(2:1)


Data maintained about the data within the data warehouse is defined as?

Data about other data is metadata.


What is metadata what is its use in data warehouse architecture?

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.


What does downloading metadata mean?

Downloading metadata typically refers to fetching information about a file, such as its size, format, date created, and other details, without actually downloading the complete file itself. This metadata provides a summary of the file's attributes and helps users identify and organize their files more effectively.


What is master data metadata and run time data?

Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.


Is data about data through which the end-user data are integrated and managed?

metadata


What does mean metadata?

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.


Difference between meta data and data dictionary?

Metadata is data that provides information about other data, such as the structure, format, and relationships of data elements. A data dictionary, on the other hand, is a centralized repository that defines and describes the data elements within a database, including their definitions, attributes, and relationships. In summary, metadata is broader and encompasses various types of information about data, while a data dictionary specifically focuses on defining and documenting the data elements within a database.


What is metadata used for?

Metadata is used to provide information about a particular data set. It helps to describe the content, structure, and context of the data, making it easier to organize, search, and retrieve. Metadata also ensures proper management and understanding of data throughout its lifecycle.