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  2. Metadata - Wikipedia

    en.wikipedia.org/wiki/Metadata

    "Granularity" refers to how much detail is provided. Metadata with a high granularity allows for deeper, more detailed, and more structured information and enables a greater level of technical manipulation. A lower level of granularity means that metadata can be created for considerably lower costs but will not provide as detailed information.

  3. Granularity - Wikipedia

    en.wikipedia.org/wiki/Granularity

    Granularity (also called graininess) is the degree to which a material or system is composed of distinguishable pieces, "granules" or "grains" (metaphorically). It can either refer to the extent to which a larger entity is subdivided, or the extent to which groups of smaller indistinguishable entities have joined together to become larger distinguishable entities.

  4. Storage virtualization - Wikipedia

    en.wikipedia.org/wiki/Storage_virtualization

    The mapping granularity dictates how quickly the meta-data can be updated, how much extra capacity is required during the migration, and how quickly the previous location is marked as free. The smaller the granularity the faster the update, less space required and quicker the old storage can be freed up.

  5. Exif - Wikipedia

    en.wikipedia.org/wiki/Exif

    Metadata Working Group was formed by a consortium of companies in 2006 (according to their web page) or 2007 (as stated in their own press release). Version 2.0 of the specification was released in November 2010, [8] giving recommendations concerning the use of Exif, IPTC and XMP metadata in images.

  6. Metadata management - Wikipedia

    en.wikipedia.org/wiki/Metadata_management

    Metadata management goes by the end-to-end process and governance framework for creating, controlling, enhancing, attributing, defining and managing a metadata schema, model or other structured aggregation system, either independently or within a repository and the associated supporting processes (often to enable the management of content).

  7. ISO/IEC 11179 - Wikipedia

    en.wikipedia.org/wiki/ISO/IEC_11179

    The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".

  8. Data lineage - Wikipedia

    en.wikipedia.org/wiki/Data_lineage

    Representation broadly depends on the scope of the metadata management and reference point of interest. Data lineage provides sources of the data and intermediate data flow hops from the reference point with backward data lineage, leading to the final destination's data points and its intermediate data flows with forward data lineage.

  9. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    The cube metadata is typically created from a star schema or snowflake schema or fact constellation of tables in a relational database. Measures are derived from the records in the fact table and dimensions are derived from the dimension tables. Each measure can be thought of as having a set of labels, or meta-data