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How ThermoFisher Is Reducing Data Analysis Times from Days to Minutes with MongoDB

PublishedJune 20, 2017
LanguageEnglish

Speaker: Joseph Fluckiger, Senior Software Architect, ThermoFisher Scientific

Mass spectrometry is the gold standard for determining chemical compositions, with spectrometers often measuring the mass of a compound down to a single electron. This level of granularity produces an enormous amount of hierarchical data that doesn't fit well into rows and columns. In this talk, learn how Thermo Fisher is using MongoDB Atlas on AWS to allow their users to get near real-time insights from mass spectrometry experiments – a process that used to take days. We also share how the underlying database service used by Thermo Fisher was built on AWS.

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