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The Lake Architecture in Data Science and Machine Learning
The answer is more around the lake but it's actually more around the orchestration in the pipelines and giving yourself option value. I've seen many companies right so I categorized them to two buckets one is if you don't do this right what happens is there is a lake but no one's using it. The ones that succeed have top down kind of energy to say okay, we're going like first and we're going to like revamp the whole thing. And people who are like more leaning on the I'm going to pay the double cost of arrows and like for us sometime will figure out how to move things over time.