What is data inconsistency in databases?
Data inconsistency in databases occurs when different copies of the same data do not match, leading to errors.
What causes data inconsistency?
Common causes include software bugs, human error, and issues during data migration or synchronization.
How can I prevent data inconsistency?
You can prevent it by implementing data validation rules, using transactions, and ensuring proper data synchronization.
What are the effects of data inconsistency?
Effects include unreliable data, poor decision-making, and potential financial losses for businesses.
Can you give me an example of data inconsistency?
Sure! An example is having a customer's address updated in one database but not in another, leading to shipping errors.
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