# MCW-Internet-of-Things **Repository Path**: mirrors_microsoft/MCW-Internet-of-Things ## Basic Information - **Project Name**: MCW-Internet-of-Things - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-08-19 - **Last Updated**: 2025-10-04 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Internet of Things ## This workshop is archived and no longer being maintained. Content is read-only. 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. October 2021 ## 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 - Device Provisioning Service - IoT Hub - Power BI Desktop - Visual Studio ## Azure solution Internet of Things ## Related references [MCW](https://microsoftcloudworkshop.com) ## 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). - Next, submit an issue with a detailed description of the problem. - Do not submit pull requests. Our content authors will make all changes and submit pull requests for approval. If you are planning to present a workshop, *review and test the materials early*! We recommend at least two weeks prior. ### Please allow 5 - 10 business days for review and resolution of issues