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Episode  Summary:

In this episode, we speak with Lior Gavish, the co-founder of Monte Carlo to explore all things data quality. Monte Carlo is a data lineage and observability tool that lowers your data downtime.

Top 3 Value Bombs:

  1. Data products should be thought of in it’s entirely from the source to the consumer.
  2. No one data stakeholder can solve data quality issues, it’s a collaboration of the data engineers, business, data consumer and even software to help automate certain aspects of cataloging and capturing meaningful metadata. 
  3. Good data quality processes should alert you to anomalies in your metrics before your data consumers do.

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