Description: Data validation is the process of ensuring that data is accurate and meets specified criteria. This process is fundamental in the realm of technology and data management, as it guarantees the integrity and quality of the information handled in various applications. Validation can include checking formats, value ranges, consistency, and the existence of mandatory data. In development environments, data validation is often implemented through models and forms, ensuring that user-entered data is correct before being stored in databases. In configuration automation with tools, data validation is crucial to avoid errors in deployable configurations. Additionally, in the context of blockchain technology, data validation is used to confirm that transactions and blocks are valid and comply with the protocol’s rules. In summary, data validation is an essential component in the data lifecycle, contributing to the reliability and effectiveness of systems that rely on accurate information.
