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  2. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt has the goal of allowing analysts to work more like software engineers, in line with the dbt viewpoint. [11] Dbt uses YAML files to declare properties. seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables), which are CSV based and typically stored in a seeds ...

  3. Data verification - Wikipedia

    en.wikipedia.org/wiki/Data_verification

    Data verification helps to determine whether data was accurately translated when data is transferred from one source to another, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous data loss .

  4. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]

  5. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    It is often an internal process. Contrast with validation." Similarly, for a Medical device, the FDA defines Validation and Verification as procedures that ensures that the device fulfil their intended purpose. Validation: Ensuring that the device meets the needs and requirements of its intended users and the intended use environment.

  6. Data validation and reconciliation - Wikipedia

    en.wikipedia.org/wiki/Data_validation_and...

    Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  8. Verification and validation of computer simulation models

    en.wikipedia.org/wiki/Verification_and...

    Verification and validation of computer simulation models is conducted during the development of a simulation model with the ultimate goal of producing an accurate and credible model. [ 1 ] [ 2 ] "Simulation models are increasingly being used to solve problems and to aid in decision-making.

  9. DBT - Wikipedia

    en.wikipedia.org/wiki/DBT

    DBT may refer to: Danish Board of Technology, a technology assessment institution in Denmark; data build tool (dbt), a data analytics tool.dbt, the extension of a DBase file format; DBT (gene) DBT Online Inc. a US data mining company; Department for Business and Trade, United Kingdom; Department of Biotechnology, India