What is schema validation and why is it important?
An example of an AI chatbot conversation about schema validation in data management.
What is schema validation and why is it important?
Schema validation is the process of ensuring that data conforms to a defined structure or format. It's important because it helps maintain data integrity and prevents errors.
Can you give me an example of schema validation?
Sure! For instance, in a JSON file, schema validation can check if a field like 'age' is an integer and falls within a specific range.
What tools can I use for schema validation?
There are several tools available, such as JSON Schema Validator, Ajv, and Joi, which can help you validate your data schemas.
How does schema validation differ from data validation?
Schema validation focuses on the structure of the data, while data validation checks the actual content and values within that structure.
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