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  2. Import and export of data - Wikipedia

    en.wikipedia.org/wiki/Import_and_export_of_data

    The import and export of data is the automated or semi-automated input and output of data sets between different software applications.It involves "translating" from the format used in one application into that used by another, where such translation is accomplished automatically via machine processes, such as transcoding, data transformation, and others.

  3. Data extraction - Wikipedia

    en.wikipedia.org/wiki/Data_extraction

    Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another ...

  4. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.

  5. 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 ...

  6. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]

  7. Data preparation - Wikipedia

    en.wikipedia.org/wiki/Data_preparation

    Data should be consistent between different but related data records (e.g. the same individual might have different birthdates in different records or datasets). Where possible and economic, data should be verified against an authoritative source (e.g. business information is referenced against a D&B database to ensure accuracy). [3] [4]

  8. Gross anatomy - Wikipedia

    en.wikipedia.org/wiki/Gross_anatomy

    Gross anatomy is studied using both invasive and noninvasive methods with the goal of obtaining information about the macroscopic structure and organisation of organs and organ systems. Among the most common methods of study is dissection , in which the corpse of an animal or a human cadaver is surgically opened and its organs studied.

  9. Web scraping - Wikipedia

    en.wikipedia.org/wiki/Web_scraping

    Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.

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