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In today’s software development landscape, data validation is critical in ensuring data quality, accuracy, and consistency within applications. Yet, robust data validation can be daunting, particularly when handling intricate, diverse, or evolving data sources. This challenge and optimising data validation frameworks for scalability and adaptability require various strategies and best practices.
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