What are the best practices for data validation?
An example of an AI chatbot conversation about best practices for ensuring data accuracy.
What are the best practices for data validation?
The best practices for data validation include defining validation rules, using automated tools, and conducting regular audits.
Can you explain what validation rules are?
Validation rules are criteria that data must meet to be considered accurate and acceptable, like format checks or range limits.
How can automated tools help in data validation?
Automated tools can streamline the validation process, reduce human error, and ensure consistency across large datasets.
What should I do if I find invalid data?
If you find invalid data, you should correct it, investigate the source of the error, and implement measures to prevent future occurrences.
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