Building the Backend: Data Solutions that Power Leading Organizations
Welcome to the Building the Backend Podcast! We’re a data podcast focused on uncovering the data technologies, processes, and patterns that are driving today’s most successful companies. You will hear from data leaders sharing their knowledge and insights with what’s working and what’s not working for them. Our goal is to bring you valuable insights that will save you and your team time when building a modern data architecture in the cloud. Topics will span from big data, AI, ML, governance, visualizations, and best practices for enabling your organization to be data-driven. If you are a chief data officer, data architect, data engineer, data analyst, and those building the backend data solutions then HIT SUBSCRIBE!
Building the Backend: Data Solutions that Power Leading Organizations
Increase the Quality and Reliability of Your Data
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Travis Lawrence
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Season 1
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Episode 22
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.