#scalaio18 @brianclapper about Spark APIs: Dataframe is for exploring data, Frameless is for production by getting more compile errors instead of runtime errors
https://github.com/typelevel/frameless …
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Replying to @polomarcus
I'm sure
@oacgnol and@adelbertchang will disagree with that recommendation. That's just how I do things. :-)1 reply 0 retweets 2 likes -
Replying to @brianclapper @polomarcus and
When I'm trying to understand the data, I'm basically scripting on the fly. I don't mind runtime errors when I'm doing that, and the DataFrame API requires less typing. But, for production code, any additional compile-time type safety is highly welcome.
2 replies 0 retweets 1 like
hah! i can +1 this wholeheartedly
5:24 AM - 31 Oct 2018
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