by Intel — published in 2012

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This paper describes Intel’s perspective on the analytics of big data generated by sensors and devices on the edge of networks.
The paper includes a discussion of:

  • The importance of data at the edge of networks where some of “biggest” big data is generated
  • How big data is inherently different from the data managed by traditional data management or business intelligence platforms, and why it matters
  • A quick overview of emerging technologies, including distributed frameworks such as the Apache Hadoop* framework and Apache* MapReduce
  • Four analytics use cases for government, retail, automotive, and manufacturing—two utilizing the Hadoop* framework and two focused on intelligent systems

Private sector, Technological, big data, data mining, analytics, internet of things