Data Integrity
Data integrity is a fundamental concept in computing and data management that ensures data remains accurate, consistent, and reliable throughout its lifecycle. It involves maintaining and assuring the completeness, accuracy, and consistency of data, preventing unauthorized modification or corruption. This is achieved through various mechanisms like validation rules, error-checking protocols, and security measures.
Developers should prioritize data integrity when building systems that handle critical or sensitive information, such as financial applications, healthcare records, or e-commerce platforms. It's essential for regulatory compliance (e.g., GDPR, HIPAA), preventing data loss or corruption, and ensuring trust in data-driven decisions. Implementing data integrity measures helps avoid costly errors, security breaches, and operational failures.