Data Validation

Why is data validation crucial?

• To ensure the reliability of the data

• To increase the volume of data

• To decrease the accuracy of the data

• To speed up the data processing

What are the different types of data validation that can be performed based on?

• Specific constraints

• Objectives of the destination

• Both specific constraints and objectives of the destination

• None of the above

What are some advantages and disadvantages of using automated validation rules for data validation?

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What is data validation?

• The process of checking the accuracy and quality of source data before using, importing, or processing it

• The process of analyzing data after it has been used or processed

• The process of creating new data sets

• The process of deleting old data

Data validation helps in maintaining the integrity of the data. It is also a form of data ________.