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Data Architecture for IoT Communications and Analytics

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A successful IoT deployment can be leveraged to improve the extended system’s performance. However, systemic objectives for IoT are less about the operation of any single device in the network and more about overall business performance optimization that can be achieved through visibility of all devices.

Inside, explore a checklist of fundamental aspects of the data architecture that is necessary for IoT success, and examine what is required to enable an environment that can rapidly adapt to the dynamic nature of massive numbers of connected sensors and other end-point devices.

Discover 8 key suggestions to evolve your data architecture for an IoT environment, including:

  • Envision, design, and govern the flow of data in motion
  • Leverage intelligence stream processing
  • Simplify and secure data ingestion
  • And more 
Vendor:
Hortonworks
Posted:
23 May 2018
Published:
23 May 2018
Format:
PDF
Length:
8 Page(s)
Type:
Resource
Language:
English

This resource is no longer available.