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.
"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.
Metadata is information that describes other data, such as the title, author, and date of a document. "Meta data" is simply a misspelling or incorrect spacing of the term "metadata."
The terms "meta data" and "metadata" are often used interchangeably, but technically "meta data" refers to data about data, while "metadata" specifically refers to structured information that describes, explains, or provides context for other 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.
"Metadata" defines the structure of the data stored.
The main differences between DNG and PNG file formats are that DNG is primarily used for raw image files and preserves more metadata, while PNG is a lossless compression format commonly used for web graphics. DNG is more suitable for preserving image quality and metadata due to its support for raw image data and extensive metadata storage capabilities.
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 about data are called metadata. See the related question "What are metadata?" for more details.
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 that provides information about other data. It describes the characteristics of the data, such as its format, structure, and context. Data, on the other hand, refers to the actual information or content that is being described by the metadata. In simple terms, metadata is data about data.
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 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.