Any books or blogs that go over ideas for data science on really really big data? Situations where sampling is front and center, scoring huge volumes that may not line up with what little has been tagged up or even be worth scoring in their entirety, and so on

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When in doubt, start with kdnuggets

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F

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what ideas are you looking for , what you want to do with the data ? I will start at that and then start reading something like
building data intensive application
Horovod / petastorm for large scale distributed training of deep learning

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