Author here: All good points - I should have been more specific: I'm really talking here about the data transformation logic. I live in a world where raw data generally gets loaded into a data lake, and data engineering proceeds from that point - but appreciate that's not the general case.
I'm really contrasting SQL to other commonly used data manipulation APIs and dataframe libraries like dplyr, pandas, polars etc., but again, appreciate this should be clearer in the blog
I'm really contrasting SQL to other commonly used data manipulation APIs and dataframe libraries like dplyr, pandas, polars etc., but again, appreciate this should be clearer in the blog