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  2. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept

  3. Data Management Association - Wikipedia

    en.wikipedia.org/wiki/Data_Management_Association

    DAMA also provides a professional data management certification for individuals known as a Certified Data Management Professional (CDMP), [10] which is based on the DMBOK as a study reference. [11] It is an example of one of many competing certifications for data management professionals. [12]

  4. Codd's 12 rules - Wikipedia

    en.wikipedia.org/wiki/Codd's_12_rules

    Codd's twelve rules [1] are a set of thirteen rules (numbered zero to twelve) proposed by Edgar F. Codd, a pioneer of the relational model for databases, designed to define what is required from a database management system in order for it to be considered relational, i.e., a relational database management system (RDBMS).

  5. Data management plan - Wikipedia

    en.wikipedia.org/wiki/Data_management_plan

    A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. [1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; [2] this may lead to data being well-managed in the present ...

  6. Enterprise data management - Wikipedia

    en.wikipedia.org/wiki/Enterprise_data_management

    Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.

  7. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    The difference [contradictory] lies in the way the data is processed; in a key-value store, the data is considered to be inherently opaque to the database, whereas a document-oriented system relies on internal structure in the document in order to extract metadata that the database engine uses for further optimization.

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  9. Data processing - Wikipedia

    en.wikipedia.org/wiki/Data_processing

    Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.