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Big data is already a thing from the past again \[1\], but that doesn't mean that we should forget what we
learned about managing big data - or, let's call it large data for now. Data transmission, storage and
management are increasingly seen as bottlenecks or even roadblocks for simulation science and AI. However,
management are bottlenecks or even roadblocks for simulation science and AI. Furthermore,
there are also increasingly large experimental facilities and satellites, which produce more data than we
can handle. And you may also think of self-driving vehicles or autonomous robot systems here.
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# requirements: Python libraries needed to run the code examples of this lecture
# Note: this may be incomplete as the lecture has been developed in Jupyter with the standard Python kernel
# provided by Jupyter-JSC.
pprint
requests
numpy