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  2. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. [1] [2] Making the data usable usually involves substantial compute and storage, as well as data processing.

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  4. List of free geology software - Wikipedia

    en.wikipedia.org/wiki/List_of_free_geology_software

    This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.

  5. Data-flow diagram - Wikipedia

    en.wikipedia.org/wiki/Data-flow_diagram

    Data flow diagram with data storage, data flows, function and interface. A data-flow diagram is a way of representing a flow of data through a process or a system (usually an information system). The DFD also provides information about the outputs and inputs of each entity and the process itself.

  6. Information engineering - Wikipedia

    en.wikipedia.org/wiki/Information_engineering

    Information engineers often [citation needed] hold a degree in information engineering or a related area, and are often part of a professional body such as the Institution of Engineering and Technology or Institute of Measurement and Control. [8] [9] [10] They are employed in almost all industries due to the widespread use of information ...

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  9. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Therefore, data definitions should be made as explicit and easy to understand as possible to minimize misinterpretation and duplication. Data models for different systems are arbitrarily different. The result of this is that complex interfaces are required between systems that share data.