Sponsored by: Bigeye | Data Reliability Engineering: A New Approach to Data Quality

Every year, poor data quality costs organizations an average of $12.9 million. Why? Growing demand for data puts data engineers under pressure to move quickly and data quality falls by the wayside. Join Egor Gryaznov, CTO of Bigeye and former staff engineer at Uber, to learn how to take data quality to the next level with data reliability engineering. Want to learn about how data engineering is evolving, how companies you know and love are managing data quality, and how to create scalable and highly-reliable data systems? This talk is for you.
Talk by: Egor Gryaznov
Here’s more to explore:
Big Book of Data Engineering: 2nd Edition: dbricks.co/3XpPgNV
The Data Team's Guide to the Databricks Lakehouse Platform: dbricks.co/46nuDpI
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