Description: Validation frameworks are structured systems designed to ensure the integrity and accuracy of data and processes within data processing environments. These frameworks allow organizations to establish specific rules and criteria that data must meet before being processed or stored. Their implementation is crucial to avoid errors that may arise during the handling of large volumes of information, ensuring that data is consistent, complete, and correct. Validation frameworks can include a variety of techniques, such as format verification, range validation, and duplicate checking, among others. Additionally, they are essential for complying with data quality regulations and standards, which in turn contributes to informed decision-making based on reliable data. In a world where the amount of data generated is increasing, validation frameworks have become an indispensable tool for organizations looking to optimize their analysis processes and ensure the quality of the information they use.
