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Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh
Data Engineering Podcast www.dataengineeringpodcast.com
Summary
Data transformation is a key activity for all of the organizational roles that interact with data. Because of its importance and outsized impact on what is possible for downstream data consumers it is critical that everyone is able to collaborate seamlessly. SQLMesh was designed as a unifying tool that is simple to work with but powerful enough for large-scale transformations and complex projects. In this episode Toby Mao explains how it works, the importance of automatic column-level lineage tracking, …
analysts consumers data data engineers dataops data transformation engineers impact importance python roles sql summary transformation