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Discover how a proactive, shift-left approach to data quality can prevent issues before they impact data users and businesses in this 21-minute talk sponsored by Datafold. Learn about automated data testing with Datafold on Databricks and how it addresses data quality across three core workflows: migrating from legacy platforms to Databricks, continuously replicating data into the lakehouse, and making changes to data transformations. Presented by Gleb Mezhanskiy, CEO of Datafold, this informative session offers valuable insights for data professionals looking to enhance their data quality processes. Explore additional resources like the Big Book of Data Engineering and The Data Team's Guide to the Databricks Lakehouse Platform to further expand your knowledge in this field.
