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Nope. Data modeling is inherent to having information systems.

The reason the author found that data modeling is 'dead' is that the Modern Data Stack promised that you could transform your data later, and so many people never got around to that. Long live the data swamp!

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Every bucket of data is implicitly or explicitly the result of an act of data modeling, some more intentional than others.

I would say that the easy access to previously unthinkable amount of storage and compute (and obv network throughput to tie it together) is thought to make the data modeling unnecessary. Normalized/denormalized data models, Inman/Kimbal architectures were largely dictated by limits of compute and storage which are no longer relevant.

What is forgotten is the data governance and the data quality, which results in, yes, data swamps as far as the eye can see and hordes of "data scientists" roaming around hoping to find actionable "gems".

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