Data Validation | Web Scraping Tool | ScrapeStorm
Abstract:Data Validation refers to the process of making rule judgments on data input, output, and processing to ensure the accuracy and completeness of the data. ScrapeStormFree Download
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Introduction
Data Validation refers to the process of making rule judgments on data input, output, and processing to ensure the accuracy and completeness of the data. Data validation is one of the fundamental principles that developers must follow when writing programs. There are many types of data validation, including input validation, format validation, range validation, uniqueness validation, and so on. Data validation helps to improve the quality of data, prevent incorrect data from being processed, and reduce errors that may occur during data processing.
Applicable Scene
Data validation is applicable to any scenario involving data input, processing, and output, especially when it is necessary to ensure data accuracy and integrity.
Pros: Can ensure the accuracy and integrity of data, and prevent errors or malicious data from affecting the system.
Cons: The increased complexity of data processing processes may require more development and maintenance work.
Legend
1. Data validation in Excel.
2. Data validation interface.
Related Article
Reference Link
https://en.wikipedia.org/wiki/Data_validation
https://www.tibco.com/reference-center/what-is-data-validation