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Data Science - What Are the Major Changes in Data Science?
i want to pick your brains on how data science has evolved over the past decade or so. For example, you mention that some of the problems you were working on spark was still on zero point one, zero point two. Yet, i think all these projects that you have engaged in are superuseful in the sense that it gives you this breadth of experience in this data space. I'd love to pick your thoughts on what are the sum of the major changes that you've seen occur over the past 10 years.