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  2. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

  3. Integration competency center - Wikipedia

    en.wikipedia.org/wiki/Integration_competency_center

    An integration competency center (ICC), sometimes referred to as an integration center of excellence (COE), is a shared service function providing methodical data integration, system integration, or enterprise application integration within organizations, particularly large corporations and public sector institutions.

  4. Ontology-based data integration - Wikipedia

    en.wikipedia.org/.../Ontology-based_data_integration

    Syntactic heterogeneity: is a result of differences in representation format of data; Schematic or structural heterogeneity: the native model or structure to store data differ in data sources leading to structural heterogeneity. Schematic heterogeneity that particularly appears in structured databases is also an aspect of structural heterogeneity.

  5. Quizlet - Wikipedia

    en.wikipedia.org/wiki/Quizlet

    Quizlet made its first acquisition in March 2021, with the purchase of Slader, which offered detailed explanations of textbook concepts and practice problems, and eventually incorporated it into its paid platform, Quizlet Plus. [20] [21] [22] In November 2022, Quizlet announced a new CEO, Lex Bayer, the former CEO of Starship Technologies. [23]

  6. Core data integration - Wikipedia

    en.wikipedia.org/wiki/Core_data_integration

    Core data integration is the use of data integration technology for a significant, centrally planned and managed IT initiative within a company. Examples of core data integration initiatives could include: ETL (Extract, transform, load) implementations; EAI (Enterprise Application Integration) implementations

  7. Data fusion - Wikipedia

    en.wikipedia.org/wiki/Data_fusion

    Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. Data fusion processes are often categorized as low, intermediate, or high, depending on the processing stage at which fusion takes place. [ 1 ]

  8. Information integration - Wikipedia

    en.wikipedia.org/wiki/Information_integration

    Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing redundancy and uncertainty. [ 1 ] Examples of technologies available to integrate information include deduplication , and string metrics which allow the detection of similar text in different data sources by fuzzy ...

  9. Web data integration - Wikipedia

    en.wikipedia.org/wiki/Web_data_integration

    Web data integration (WDI) is the process of aggregating and managing data from different websites into a single, homogeneous workflow. This process includes data access, transformation, mapping, quality assurance and fusion of data. Data that is sourced and structured from websites is referred to as "web data".

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