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Machine Learning, Python Scala, and the Analytical Bito World Together?
There really are two stacks in two communities who sink the exact same data sources to delta lake and to snowflake, simply for operational reasons. There's essentially three visions of that world: One is that you're going to put machine learning into sequel; probably big query is the furthest along in pursuing this. And then there's ba third vision, where you use arrow, the interchange form at and everything can just talk to each other,. Which of these visions do you think is going to win? What i would like to see win is to something like arrow, so that you have tepeer off.