• Christian Nygaard

    CEO, ModelarData

    Bio:
    Christian Nygaard is software engineer with a focus on all the non-fancy software that actually makes the world turn. Currently he is working on ushering in the 4th industrial revolution by helping companies access valuable sensor data.

    Title of presentation:
    What Modelar DB can do for your sensor data

    Abstract of presentation:
    In this talk, I will demonstrate how ModelarDB can store huge amounts of timeseries data to enable better analytics and insights while also reducing storage and compute costs compared to existing solutions. I will also present how it works in a setting where data is collected on many edge nodes with limited network bandwidth.
     

    Speaker for following sessions
    • Sankt Hans Torv & Nørrebros Runddel A
      01-12-2 -
      Organized by AAU

      Massive amounts of data is collected, for example from different types of sensors devices connected using Internet-of-things (IoT) technology or from monitoring of large-scale Internet services. Due to the massive amounts of data, much of it is unfortunately thrown away and not exploited today. The data needs to be collected, stored, queried, and analyzed on both edge and cloud platforms to solve important problems in many industrial domains, e.g., management of solar parks and wind parks to detect small variations or problems early.

      Program:
      Introduction and Scientific Talk: “Model-Based Storage and Management of Massive Sensor Time Series”, Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Business Talk: “Communication and computation challenges from RES data”, George Konstantoulakis, CTO, INACCESS
      Business Talk: “What ModelarDB can do for your sensor data”, Christian Nygaard, CEO, ModelarData
      Scientific Talk: “Freshness on Demand in Real-Time IoT Systems”, Professor Petar Popovski, Dept. of Electronic Systems, Aalborg University
      Scientific Talk: “ByteSeries: an in-memory time series database for large-scale monitoring systems”, Professor Yongluan Zhou, Dept. of Computer Science, University of Copenhagen
      Scientific Talk: “Advanced data mining on big time series: correlation discovery and temporal pattern mining”, Assistant Professor Nguyen Thi Thao Ho, Dept. of Computer Science, Aalborg University

      Session coordinator: Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Facilitator: Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Managing and analyzing very large time series from IoT and sensors.
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