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Prospero will analyse and store data from experimental characterization of protein samples being considered for crystallization. Based on the available characterization data, Prospero will predict the likelihood of successful crystallization and make suggestions for improving this likelihood.
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The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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