D - Definitions

  • D

    dark data

    The term dark data refers to operational information that goes unused by other applications or is stored for regulatory compliance purposes only.

  • data

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

  • data analytics (DA)

    Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information.

  • data classification

    Data classification is the process of organizing data into categories for its most effective and efficient use. A well-planned data classification system makes essential data easy to find and retrieve.

  • data dredging (data fishing)

    Data dredging, sometimes referred to as data fishing is a data mining practice in which large volumes of data are searched to find any possible relationships between data...

  • data engineer

    A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses.

  • data federation software

    Data federation software is programming that provides an organization with the ability to collect data from disparate sources and aggregate it in a virtual database where it can be used for business intelligence (BI) or other analysis.

  • data governance (DG)

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

  • data management

    Data management is the development and execution of architectures, policies, practices and procedures in order to manage the information lifecycle needs of an enterprise in an effective manner.

  • data modeling

    A data model can be thought of as a diagram or flowchart that illustrates the relationships between data. Although capturing all the possible relationships in a data model can be very time-intensive, it's an important step that shouldn't be rushed.

  • data profiling

    Data profiling, also called data archeology, is the statistical analysis and assessment of the quality of data values within a data set for consistency, uniqueness and logic.  

  • 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.

  • data stewardship

    Data stewardship is the management and oversight of an organization's data assets to provide business users with high quality data that is easily accessible in a consistent manner.

  • data virtualization

    Data virtualization is an umbrella term used to describe any approach to data management that allows an application to retrieve and manipulate data without needing to know any technical details about the data such as how it is formatted or where it is physically located. 

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