What are some effective ways to avoid database performance issues when using data masking and anonymization?

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Data masking and anonymization are techniques to protect sensitive data from unauthorized access or exposure. They can also help comply with data privacy regulations and reduce the risk of data breaches. However, they can also affect the performance of your database, especially if you apply them on large or complex datasets. How can you avoid or minimize the impact of data masking and anonymization on your database performance? Here are some effective ways to consider.

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