The role of data validation in architecture integration is to ensure that data being transferred or shared among different systems or applications is accurate, consistent, complete, and conforms to the required format and standards. Data validation helps to detect and prevent errors or inconsistencies that may arise during data transmission, processing or storage, which can affect the functionality, reliability, and performance of the integrated systems. The validation process may involve checking data types, constraints, ranges, dependencies, and metadata to ensure that the data is valid and trustworthy. Data validation is critical in architecture integration because it helps to improve data quality, reduce data errors, improve system integration, and enhance overall system performance.
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