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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Save Data Engineer’s Time Our 2023 survey revealed that data professionals spend more than a third of their time evaluating or checking data quality–that is too much. Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.

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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Save data engineer’s time Our 2023 survey revealed that data professionals spend more than a third of their time evaluating or checking data quality–that is too much. Oftentimes these ETL systems come under considerable pressure as all of your stakeholders want to look at every metric a million different ways with sub second latency.