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.

As data-driven intelligence becomes a more integral component of nearly every function—from inventory management to personalized customer marketing—these two roles are finding the need to work together in tandem. Yet many teams today still struggle with doing so, as they continue to work with different tools and in separate languages.To read this article in full or to leave a comment, please click here

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