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Workshop to showcase how to perform IoT data analytics at the edge using AWS IoT Greengrass.
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README.md

IOT-405R - Performing Analytics at the Edge with AWS IoT Greengrass

Workshop to showcase how to perform IoT data analytics at the edge using AWS IoT Greengrass.

Industry 4.0 increasingly requires edge-centric analytics on telemetry data generated from machines and devices; for example, edge-based ML inferencing, and low-latency applications. In this workshop, you learn what it takes to build an edge-based analytics cache engine to support time-series processing functions, such as rolling statistics, and industrial-focused custom calculations, such as bursts of rotational telemetry metrics.

Getting Started

Go to the workshop guide site at http://bit.ly/33xJaNV

or

Read the workshop guide workshop-guide/GUIDE.md

Enjoy the workshop!

Some Useful Commands

  • npm run build compile typescript to js
  • npm run watch watch for changes and compile
  • npm run test perform the jest unit tests
  • cdk deploy deploy this stack to your default AWS account/region
  • cdk diff compare deployed stack with current state
  • cdk synth emits the synthesized CloudFormation template

License

This library is licensed under the MIT-0 License. See the LICENSE file.

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