I only skimmed the article due to its length. But I didn't see anything like a comparison to other toolchains. Like, how is this better/different/worse than Airflow + dbt + Snowflake?
> we argue that we can rethink the current state of data transformation pipelines (intro)
> In the blog we will cover:
> We show a way how you can combine the best of both worlds
> We will tackle its impact and explain more in the following development section.
edit: yeah it's ChatGPT:
> Parts of this text were adeptly generated by ChatGPT but enhanced by real humans.
I guess it's the future, turn a tweet into a 5-page essay with your AI, so your readers can summarize it back to tweet-length with their AI.
Georg - one of the authors is here.
Indeed, we used LLMs/GPT4 for proof reading and enhancing the English language (we are not native speakers).
We were thinking about breaking up the content - but decided that one long post is a better fit.
> > We show a way how you can combine the best of both worlds
In fact, that sentence I wrote by hand : )
the Dagster folks have some comparisons, of course there are popular modern alternatives other than Dagster