What is data validation and why is it important?
Data validation is the process of ensuring that a program or application receives the correct data. It's important because it helps maintain data integrity, prevents errors, and ensures that the data is accurate and useful.
Can you give me some examples of data validation techniques?
Sure! Common techniques include range checks, format checks, consistency checks, and uniqueness checks. Each technique helps ensure that the data meets specific criteria.
How can I implement data validation in my application?
You can implement data validation by using built-in validation functions in your programming language, or by creating custom validation rules. Frameworks often provide validation libraries that simplify this process.
What are the consequences of not validating data?
Not validating data can lead to incorrect data entry, application crashes, security vulnerabilities, and poor decision-making based on faulty data.
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