schema_validator

To validate structured data against a JSON schema, you need to provide both the data file and the schema definition. The validator checks if the data conforms to specified field types, constraints, and table-level rules to ensure data integrity.

JSON schema compliance ensures structured data matches defined field types and constraints. You need it during data preprocessing or integrity checks to filter out records that do not conform to a predefined structure.

You can check JSON data against required field types and constraints by validating it with a defined JSON schema. This process verifies field existence, format, and table-level constraints to confirm data conformity.

Yes, you can use schema validation in data preprocessing workflows. By checking data against a JSON schema, you can effectively filter out non-conforming records and ensure downstream data integrity.

Yes, the validator checks both field-level and table-level constraints. It ensures structured data conforms to specified field types, formats, and existence rules, alongside broader table-level constraints defined in the JSON schema.

You need to define rules in JSON format to verify data integrity. The validation process requires a JSON schema definition to check if your structured data adheres to the specified constraints.