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This invention describes a computer-based method to check the quality of data before it's moved from one system to another. It works by first understanding the new system's requirements from its metadata, then automatically creating specific quality rules based on those requirements. These rules are then applied to the data to ensure it meets the new system's standards before being loaded.
Why it matters: The core challenge of automatically generating rules from metadata has become more tractable with advances in machine learning and AI. These technologies could now make the rule generation process more adaptive and less reliant on explicit programming than was feasible in 2011, addressing the increasing complexity of data migrations.
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