RESEARCH PAPER: IoT Analytics at the Edge

By John Fruehe - August 1, 2016
To accelerate business, companies are turning to analytics to help transform data into insight. With so many systems and products now digitally instrumented and providing an endless stream of telemetry, data analytics can help companies glean insight in real-time regarding how their systems are operating. However, to take advantage of these data streams, businesses need to perform analytics close to the edge—near the systems, devices, and users that will benefit the most from the insight. The value of analytics is in the data, and location is critical in driving actionable results. You can download the paper here. hewlett_packard_enterprise_logo

Table of Contents

  • Executive Summary
  • Today's Customer Needs
  • The Benefits of Edge Computing for IoT
  • Edge Computing for IoT in Action
  • HPE’s Portfolio of IoT Edge Components
  • HPE Edgeline EL10 / EL20 Intelligent Gateways
  • HPE Edgeline EL1000 / EL4000 Converged IoT Systems
  • Aruba Secure Mobility
  • Vertica Analytics Software
  • IoT Services & IoT Innovation Labs
  • HPE Universal IoT Platform - Data Enablement Platform
  • The IoT Sensor & Control Ecosystem
  • HPE Ecosystem Partnerships
  • How Edge IoT is Evolving
  • Call to Action
  • Figure 1: Continuum of Analytics
  • Table 1: IoT Data Aspects
  • Figure 2: Data Growth

Companies Cited

  • Aruba
  • Flowserve
  • GE
  • HPE
  • Intel
  • Microsoft
  • National Instruments
  • PTC
  • ThingWorx
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