Data quality best practices Definitions

  • D

    data

    In computing, data is information that has been translated into a form that is efficient for movement or processing.

  • data governance (DG)

    Data governance (DG) is the overall management of the availability, usability, integrity and security of data used in an enterprise.

  • data quality

    In computing, data quality is the reliability and application efficiency of data, particularly when kept in a data warehouse. Data quality assurance (DQA) is the process of verifying the reliability and efficiency of data.

  • data scrubbing (data cleansing)

    Data scrubbing, also called data cleansing, is the process of cleaning up data in a database that is incorrect, incomplete, or duplicated.

  • F

    fixed data (permanent data, reference data, archival data, or fixed-content data)

    Fixed data (sometimes referred to as permanent data) is data that is not, under normal circumstances, subject to change. Any type of historical record is fixed data. For example, meteorological details for a given location on a specific day in the past are not likely to change (unless the original record is found, somehow, to be flawed).

  • R

    raw data (source data or atomic data)

    Raw data (sometimes called source data or atomic data) is data that has not been processed for meaningful use.

  • S

    synthetic backup

    Synthetic backup is the process of generating a file from a complete copy of a file created at some past time and one or more incremental copies created at later times... (Continued)

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