8 Comments
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Marianna Nakos's avatar

“From SQL Wizards to Semantic Architects” interesting approach!

Lorenzo Bradanini's avatar

Thanks so much !! Let me know if you like it 😊

Marianna Nakos's avatar

Great article! Definitely worth reading as a lot of data analyst are focused on sql

Lorenzo Bradanini's avatar

Thanks so much ! Really appreciate those kind word. Hope that I will continue to deliver value in the future

Eu's avatar

Great article!

Lorenzo Bradanini's avatar

Thank you so much Eugene !!

Rainbow Roxy's avatar

Thanks for writing this, it clarifies a lot. This really hits the nail on the head; the shift from reactive querying to proactive, compiled data, especially with AI, feels like such a natural and inevitable evolution. It makes me think about how the human skill set will need to adapt - will future data professionals need a deeper understanding of the underlying compilation logic, perhaps more like a compiler engineer, for effective management, even if the SQL orchestation is gone?

Lorenzo Bradanini's avatar

Thank you so much for reading the post, genuinely.

And yes….. that shift you’re noticing is exactly the quiet hinge the whole field is turning on. As reactive querying dissolves into proactive, always-compiled systems, the craft doesn’t disappear: it just slides more deeper.

The surface syntax fades; the semantics become the job. And suddenly the data professional looks less like a pipeline builder and more like someone who understands how intent becomes execution… almost a soft-spoken compiler engineer. Not to write the compiler, but to shape the meaning it’s allowed to work with.

That’s probably the new leverage.