Course 40505C: Microsoft Cloud Workshop: Internet of Things

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.

Duration: 1 Day | Location : Online

Course Prerequisites:
None

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Virtual Interactive Lecturer-led Teaching (VILT)

Virtual instruction environments are designed to simulate the traditional classroom or learning experience. Instructor-led training is still the number one delivery method of choice because it allows you to interact and discuss the training material, either individually or in a group setting, and you gain access to expert knowledge from certified instructors. This form of guided learning is impactful and produces positive learning outcomes. Day, evening and Saturday classes are offered.

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

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Module 2: Hands-on Lab – Internet of Things

Lessons

Environment setup
IoT Hub provisioning
Create n-tier application and validate functionality
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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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