Course 40505C: Microsoft Cloud Workshop: Internet of Things

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Anytime accessNo
Anywhere access to recorded instructorNo
Microsoft official training contentYes
In-depth trainingYes
Hands-on labs No
SATV redemption Yes
Ask instructor questions in personYes
Attend live class in personYes
Attend live class remotelyYes
Time commitment
About this course
Technology:Azure
Level:Advanced
This Revision:C
Length:1 day
Language(s):English

First published:

29 May 2018
Overview
About this course
Implement an end-to-end solution simulating high velocity data emitted from smart meters and analyzed in Azure. Create a lambda architecture, filtering a subset of the telemetry data for real-time visualization on the hot path, and storing all of the data in long-term storage for the cold path.
Audience profile
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.
At course completion

Students will be better able to implement device registration with the IoT Hub registry and visualize hot data with Power BI. In addition,

  • Implement a simulator sending telemetry from smart meters
  • Capture and process both hot and cold data using Stream Analytics and HDInsight with Spark
  • Visualize hot data with Power BI
Course details
Course OutlineModule 1: Whiteboard Design Session - Internet of ThingsLessons
  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution
Module 2: Hands-on Lab - Internet of ThingsLessons
  • 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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