Time-series Workloads and Implications for Time-series Databases - Michael Freedman - IEEE Sarnoff Symposium, 2019

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  • #IEEE
  • #ComSoc
  • #Sarnoff
  • #2019
  • #6G
  • #5G
  • #IoT
  • #Cloud
  • #Analytics
  • #Networks
  • #Artificial Intelligence
  • #Machine Learning
  • #Data Science
  • #Orchestration
  • #Open Source
  • #database
  • #timeseries
  • #big data 5G data
  • #relational data
  • #geospatial data
  • #data scaling
  • #data performance
  • #data management
  • #automation

Professor Michael Freedman, Princeton University, talks about the process of building a new platform for 5G devices and applications, and a new type of database is necessary. Prof. Freedman looks at time-series data origination, data chunking, and deployment options that are driving systems design. 

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  • Published on
  • December 9, 2019

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