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:
- Data products should be thought of in it’s entirely from the source to the consumer.
- 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.
- Good data quality processes should alert you to anomalies in your metrics before your data consumers do.