What are data integrity checks and why are they important?
Data integrity checks are processes that ensure the accuracy and consistency of data over its lifecycle. They are crucial for maintaining trust in data.
Can you give me some examples of data integrity checks?
Sure! Examples include checksums, hash functions, and validation rules that verify data against predefined criteria.
How often should data integrity checks be performed?
It depends on the data's criticality, but regular checks, such as daily or weekly, are recommended for sensitive data.
What tools can I use to perform data integrity checks?
There are various tools available, such as Apache NiFi, Talend, and custom scripts using programming languages like Python.
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