Developer productivity is key in CLASS. Integrating powerful components becomes even more valuable when the combined product can be used efficiently. In this blog, CLASS presents an example of how data distribution in dataClay and scale-out computation in PyWren can be combined while delivering a simple and efficient programming abstraction that allows accessing dataClay objects from computation distributed in serverless functions.

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