Subsurface LIVE Sessions

The Internet of Things (IoT) is one of the driving forces for the increase in today’s data volume and diversity. IoT platforms must enable users to leverage incoming data for immediate analysis/action as well as long-term historical analytics. For the latter, the data needs to be stored efficiently and made available for large-scale analytics.

This talk discusses both the challenges and solutions of using data lakes for long-term storage of IoT data, including:

  • How data is moved from the IoT platform to the data lake
  • How data is organized
  • How efficient querying by consumers (e.g., IoT platform user interface, business intelligence tools and machine learning applications) is achieved