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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

In a recent Snowflake webinar , JetBlue data scientist Derrick mentions how helpful it is for the data science team to know they don’t need to continuously do “sanity checks” on the volume of their data sets since they know they are being monitored for volume anomalies (as well as freshness, schema, and overall quality).

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

In a recent Snowflake webinar , JetBlue data scientist Derrick mentions how helpful it is for the data science team to know they don’t need to continuously do “sanity checks” on the volume of their data sets since they know they are being monitored for volume anomalies (as well as freshness, schema, and overall quality).