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Course Description

This Microsoft Internet of Things workshop will guide you through an implementation of an end-to-end IoT solution simulating high velocity data emitted from smart meters and analyzed in Azure. You will design a lambda architecture, filtering a subset of the telemetry data for real-time visualization on the hot path, and storing all the data in long-term storage for the cold path.

Objectives

At the end of this Microsoft Cloud Workshop, you will be better able to construct an IoT solution implementing device registration with the IoT Hub Device Provisioning Service and visualizing hot data with Power BI.

Audience

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.

Prerequisites

There are no prerequisites for this course.

Content

Module 1: Whiteboard Design Session - Internet of Things

Lessons

  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution

 

Module 2: Hands-on Lab - Internet of Things

Lessons

  • Environment setup
  • IoT Hub provisioning
  • Completing the Smart Meter Simulator
  • Hot path data processing with Stream Analytics
  • Cold path data processing with HDInsight Spark
  • Reporting device outages with IoT Hub Operations Monitoring

 


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