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Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh

Data Engineering Podcast

CHAPTER

The Second Order Benefits of SQL Mesh for Teams Building Complex Data Estates

SQL mesh was really designed to unify the different data stacks that data engineers and data analysts have, right? At all the places I've worked at, data engineers kind of have their own stack. Maybe Scala, airflow, et cetera, something a little bit more complex because it has to deal with scale and robustness. And the analysts have their ownstack, right? I mean, that's more geared towards usability, pure SQL, something that they're familiar with. And so  QS mesh is intended to be easy for the analysts to use, but robust and scalable enough that a data engineer would use it in their production systems.

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