How Thermo Fisher is Reducing Data Analysis Times from Days to Minutes with MongoDB

June 23, 2017

Speaker: Joseph Fluckiger, Senior Software Architect, ThermoFisher Scientific 
Level: 200 (Intermediate)
Track: Atlas

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.

What You Will Learn:

How we modeled mass spectrometry data to enable us to write and read an enormous about of experimental data efficiently.

Learn about the best MongoDB tools and patterns for .NET applications.

Live demo of scaling a MongoDB Atlas cluster with zero down time and visualizing live data from a million dollar Mass Spectrometer stored in MongoDB.

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