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  • It couples with particular query engine, which is not feasible for most cases since different organizations might have different query engine deployed.
  • Data quality definition is not clear enough to understandable between different stakeholder, we need more clear abstraction regarding data quality.
  • Scheduler is limit in Griffin, scheduler should be easily integrate with different data platform teams' strategy.
  • Griffin's only one mission is to reduce MTTD(Mean time to detect), but currently it lack integration consideration for alerting.

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