a16z Infra #4: Segmenting the Data Analytics Stack
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Is There a Reason Why Note Books Are So Popular?
There's a different inner kinds of people with their skill set, right? And if you look at data engineers, they are ina. They know about the scala, and their goal is to run these pieplanes efficiently,. n use compute caras, all of that. A lot of people live in a end up writing the scala programms, riht, using spark data frames. It is for efficiency purposes. So it depends on what users are trying to do, what skill set they bring and what er work flor. In my opinion, i think we should start withina. Let's use the data rit really effectively, and then look for ina.
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