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In this episode of the Plumbers of Data Science podcast, I’m sharing my thoughts on why data modeling isn’t as complicated as people make it out to be. You hear about courses and tutorials that stretch for hours—but is it really that hard?
I’ll break down the two main things you need to focus on when modeling data and explain why, once you’ve got those down, the rest falls into place.
By Andreas KretzIn this episode of the Plumbers of Data Science podcast, I’m sharing my thoughts on why data modeling isn’t as complicated as people make it out to be. You hear about courses and tutorials that stretch for hours—but is it really that hard?
I’ll break down the two main things you need to focus on when modeling data and explain why, once you’ve got those down, the rest falls into place.

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