Modern experiments produce lots of data. Abundant data is not exclusive to the "big gun" institutions, such as observatories and particle colliders. It is also the norm in modest-size labs working on anything from genomics to microscopy. Even outside of science you don't need to go far to find lots of data. With the Internet-of-Things (IoT) at play, a modern smart home is a continuous source of big datasets! With data collection as easy as it is, how does one analyze the data efficiently?
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