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In data-driven enterprises, it is a common practice to create copies of production databases for non-production uses, such as development and testing, data science, and business intelligence initiatives. But any confidential or sensitive data being copied must first be secured. Data masking is a great way to accomplish this, but not all solutions can deliver a DBMS copy with fresh, high-quality data that is still fit for its purpose after masking.
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