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Presentation – Liberate Real-Time Data into HDF5


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About the Presentation

Real-Time systems generate massive flows of complex data that make it difficult to balance data overflow and losing critical information required for accurate analysis and clean for intelligent machine learning.

FishEye in building real-time radars for over 20 years sees the lack of technology able to easily liberate complex machine data from real-time systems to enable machine learning and real-time analysis

In this presentation, FishEye will demonstrate a lambda architecture that includes high-performance data collection, a scalable architecture that dynamically curates and routes a real-time data flow to real-time machine learning prediction, real-time analysis and visualization, and into HDF5 for postprocess machine training and multi-run analysis.


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