Hi David, I'm sorry if the article gave you the impression that DataOps makes Data Governance analogous to only Data Quality. It's actually quite the opposite. Data Quality tools have existed for years as a part of traditional data governance. DataOps takes the core of those tools (assertions about the "correctness" of the data) and expands them to cover other Data Governance goals. This could include testing for security and access management around the data to ensure that it complies with regulatory rules (for example that masking policies are applied). The tests could also ensure that data rights request implementations work appropriately (provided that the enforcement of these is also automated as a platform feature). I could see a set of open-source libraries (along with test datasets) using tools like GreatExpectations that are developed to ensure that rights request execution is compliant with GDPR, CCPA, FERPA, or HIPPA for example. I agree with you that this is likely "out on the horizon" rather than a year away.