Software Engineering Institute | Carnegie Mellon University
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Big Analog Data™, New Architectures to Realize New Insights

  • May 2016
  • By Jamie Smith (National Instruments)454304
  • Big Analog Data™ sources are all around us (light, RF signals, vibrations, temperatures). We will need new architectures to manage this data at the edge and in the cloud.
  • Publisher: Software Engineering Institute
  • This presentation was created for a conference series or symposium and does not necessarily reflect the positions and views of the Software Engineering Institute.
  • Abstract

    The Industrial Internet of Things megatrend is generating massive amounts of data from a wide range of new data sources. The big source of new data is analog data, coming from sensors tied to machines, electronic devices, and the environment. Big Analog Data™ sources are all around us (light, RF signals, vibrations, temperatures, and so on). We will need new architectures and approaches to manage and process this data at the edge and in the cloud to extract insights and drive business impact.

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SATURN 2016 Presentations