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  2. Data lineage - Wikipedia

    en.wikipedia.org/wiki/Data_lineage

    The scope of the data lineage determines the volume of metadata required to represent its data lineage. Usually, data governance and data management of an organization determine the scope of the data lineage based on their regulations, enterprise data management strategy, data impact, reporting attributes and critical data elements of the ...

  3. Data archaeology - Wikipedia

    en.wikipedia.org/wiki/Data_archaeology

    The first step in performing data archaeology is an investigation into their data lineage. Data lineage entails the history of the data, its source and any alterations or transformations they have undergone. Data lineage can be found in the metadata of a dataset, the para data of a dataset or any accompanying identifiers (methodological guides ...

  4. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    Data transformation or data mediation between a data source and a destination; Identification of data relationships as part of data lineage analysis; Discovery of hidden sensitive data such as the last four digits of a social security number hidden in another user id as part of a data masking or de-identification project

  5. Database design - Wikipedia

    en.wikipedia.org/wiki/Database_design

    Database design is the organization of data according to a database model.The designer determines what data must be stored and how the data elements interrelate. With this information, they can begin to fit the data to the database model. [1]

  6. Structured systems analysis and design method - Wikipedia

    en.wikipedia.org/wiki/Structured_systems...

    Logical Data Modelling The process of identifying, modelling and documenting the data requirements of the system being designed. The result is a data model containing entities (things about which a business needs to record information), attributes (facts about the entities) and relationships (associations between the entities). Data Flow Modelling

  7. Design science (methodology) - Wikipedia

    en.wikipedia.org/wiki/Design_science_(methodology)

    Design science research (DSR) is a research paradigm focusing on the development and validation of prescriptive knowledge in information science. Herbert Simon distinguished the natural sciences, concerned with explaining how things are, from design sciences which are concerned with how things ought to be, [1] that is, with devising artifacts to attain goals.

  8. Charles H. Noski - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/charles-h-noski

    From January 2008 to December 2012, if you bought shares in companies when Charles H. Noski joined the board, and sold them when he left, you would have a -33.6 percent return on your investment, compared to a -2.8 percent return from the S&P 500.

  9. Data curation - Wikipedia

    en.wikipedia.org/wiki/Data_curation

    The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...