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Bridging the developer and data scientist gap with cloud, notebooks and PixieDust

October 5, 2017

Via: InfoWorld

A wealth of information hides in the vast amount of data produced every day—roadside sensors measuring traffic volume, medical imaging for rapid diagnosis, and satellites circling overhead analyzing weather patterns. In nearly every industry, cloud enables exponential growth by providing cheap, remote storage of data, access through a variety of devices, and elastic compute for data processing at scale. But, how can we capture the full potential of this data?

To do so requires a closer collaboration between data scientists and developers.

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