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  2. Metadata standard - Wikipedia

    en.wikipedia.org/wiki/Metadata_standard

    A good example of metadata is the cataloging system found in libraries, which records for example the author, title, subject, and location on the shelf of a resource. Another is software system knowledge extraction of software objects such as data flows, control flows, call maps, architectures, business rules, business terms, and database schemas.

  3. File:Example.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Example.pdf

    Page:Example.pdf/2; Metadata. This file contains additional information, probably added from the digital camera or scanner used to create or digitize it.

  4. Metadata - Wikipedia

    en.wikipedia.org/wiki/Metadata

    Descriptive metadata is typically used for discovery and identification, as information to search and locate an object, such as title, authors, subjects, keywords, and publisher. Structural metadata describes how the components of an object are organized. An example of structural metadata would be how pages are ordered to form chapters of a book.

  5. Schema crosswalk - Wikipedia

    en.wikipedia.org/wiki/Schema_crosswalk

    This type of "translating" from one format to another is often called "metadata mapping" or "field mapping," and is related to "data mapping", and "semantic mapping". Crosswalks also have several technical capabilities. They help databases using different metadata schemes to share information. They help metadata harvesters create union catalogs.

  6. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    REST API; Apache Doris No No No No Yes [20] Yes No Superset, Redash, Metabase, Tableau, Qlik, Pivot, PowerBI Yes Yes Apache Druid: No No No No Yes Druid SQL No Superset, Pivot, Redash Yes Yes Apache Kylin: Yes No Yes No Yes Yes Superset, Zeppelin, Tableau, Qlik, Redash, Microsoft Excel Yes Yes Apache Pinot: No No No No Yes Yes No Superset ...

  7. Data dictionary - Wikipedia

    en.wikipedia.org/wiki/Data_dictionary

    The terms data dictionary and data repository indicate a more general software utility than a catalogue. A catalogue is closely coupled with the DBMS software. It provides the information stored in it to the user and the DBA, but it is mainly accessed by the various software modules of the DBMS itself, such as DDL and DML compilers, the query optimiser, the transaction processor, report ...

  8. Attribute-based access control - Wikipedia

    en.wikipedia.org/wiki/Attribute-based_access_control

    Attribute values can be set-valued or atomic-valued. Set-valued attributes contain more than one atomic value. Examples are role and project. Atomic-valued attributes contain only one atomic value. Examples are clearance and sensitivity. Attributes can be compared to static values or to one another, thus enabling relation-based access control.

  9. Metadata registry - Wikipedia

    en.wikipedia.org/wiki/Metadata_registry

    Because metadata registries are used to store both semantics (the meaning of a data element) and systems-specific constraints (for example the maximum length of a string) it is important to identify what systems impose these constraints and to document them. For example the maximum length of a string should not change the meaning of a data element.