What is the difference between schema validation and data validation?
An example of an AI chatbot conversation about schema vs data validation.
What is the difference between schema validation and data validation?
Schema validation ensures that data follows a defined structure, while data validation checks the actual content of the data.
Can you give me an example of schema validation?
Sure! In JSON, schema validation would check if a data object has required fields like 'name' and 'age'.
And what about data validation?
Data validation would check if the 'age' field contains a number and if 'name' is a string.
Why is it important to use both?
Using both ensures that data is not only structured correctly but also contains valid and meaningful information.
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