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CyberPun-K t1_jae0m46 wrote

While AutoML is a powerful tool for automated machine learning, it's not widely used by most people. Personally, I wouldn't pay thousands of dollars for fancy hyperparameter optimization. In most cases improvements are marginal.

One of the cool features of Big Query is its seamless integration with SQL queries, which makes data analysis much easier.

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SherbertTiny2366 t1_jaebzb0 wrote

From what I get, that is also the advantage of Fugue. From their Webpage:
> FugueSQL is designed for heavy SQL users to extend the boundaries of traditional SQL workflows. FugueSQL allows the expression of logic for end-to-end distributed computing workflows. It can also be combined with Python code to use custom functions alongside the SQL commands. It provides a unified interface, allowing the same SQL code to run on Pandas, Dask, and Spark.

https://github.com/fugue-project/fugue

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