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Internet of Things

Fabrikam provides services and smart meters for enterprise energy (electrical power) management. Their “You-Left-The-Light-On” service enables the enterprise to understand their energy consumption. Fabrikam would like to become an authorized energy management solution provider. According to their Director of Analytics, Sam George, "We are investigating a move to the cloud to help our customers not only to meet data collection and reporting requirements, but also become the number one energy management solution provider." They are intending to enable their enterprise customers with a web-based dashboard where they can see historical trends of power consumption.

December 2019

Target audience

  • Application Developer
  • IoT Developer

Abstracts

Workshop

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.

At the end of this 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.

Whiteboard design session

In this whiteboard design session, you will work with a group to design 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.

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

Hands-on lab

In this hands-on lab, you will construct 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.

At the end of this hands-on lab, you will be better able to build an IoT solution implementing device registration with the IoT Hub Device Provisioning Service and visualizing hot data with Power BI.

Azure services and related products

  • Azure App Services
  • Azure Blob Storage
  • Azure Data Factory
  • Azure Databricks
  • Azure SQL Database
  • Azure Stream Analytics
  • IoT Hub
  • Power BI Desktop
  • Visual Studio

Azure solution

Internet of Things

Related references

MCW

Help & Support

We welcome feedback and comments from Microsoft SMEs & learning partners who deliver MCWs.

Having trouble?

  • First, verify you have followed all written lab instructions (including the Before the Hands-on lab document).
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