What is data integrity validation?
An example of an AI chatbot conversation about ensuring data accuracy and consistency.
What is data integrity validation?
Data integrity validation is the process of ensuring that data is accurate, consistent, and reliable throughout its lifecycle.
Why is data integrity important?
Data integrity is crucial because it ensures that decisions made based on the data are sound and trustworthy.
What methods are used for data integrity validation?
Common methods include checksums, data validation rules, and regular audits to verify data accuracy.
Can you give an example of a data integrity issue?
Sure! An example would be a database where duplicate entries lead to conflicting information, affecting reporting.
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