Course 40505-G: Microsoft Cloud Workshop: Internet of Things

Microsoft

Course 40505-G: Microsoft Cloud Workshop: Internet of Things

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This 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.

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 “Summary” and “Skills gained” 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

Course outline

Module 1: Whiteboard Design Session - Internet of Things

Module Overview

In this module, 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. After completing this module, you will be better able to implement device registration with the IoT Hub registry, and visualize hot data with Power BI.

Lessons

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Describe case study.
Design concept solution.
Describe solution.

Module 2: Hands-on Lab - Internet of Things

Module Overview

This module is designed to guide you through an implementation of an end-to-end IoT solution simulating high velocity data emitted from smart meters and analyzed in Azure. In this module, 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. After completing this module, you will be better able to implement device registration with the IoT Hub registry and visualize hot data with Power BI.

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Construct an IoT solution implementing device registration with the IoT Hub Device Provisioning Service and visualizing hot data with Power BI.

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