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Merge pull request #218950 from KennedyDMSFT/US1975582-2
Article retirement - steps 2, 3, and 4
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articles/iot-hub/.openpublishing.redirection.iot-hub.json

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"source_path_from_root": "/articles/iot-hub/iot-hub-visual-studio-cloud-device-messaging.md",
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"redirect_url": "/azure/iot-hub/iot-hub-vscode-iot-toolkit-cloud-device-messaging",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/iot-hub/iot-hub-weather-forecast-machine-learning.md",
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"redirect_url": "/azure/iot-hub/iot-concepts-and-iot-hub",
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"redirect_document_id": false
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articles/iot-hub/TOC.yml

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- name: Data Visualization in a web app
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displayName: real-time sensor data, Node.js, Azure Cloud Shell, consumer group, App Service, Web Sockets protocol, Azure App Service
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href: iot-hub-live-data-visualization-in-web-apps.md
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- name: Weather forecast using Azure Machine Learning
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displayName: sensor data, Machine Learning Studio, ML Studio, data science, weather prediction model, Azure AI Gallery, R-script module, temperature and humidity data, predictive web service, Stream Analytics job, Azure Storage Explorer
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href: iot-hub-weather-forecast-machine-learning.md
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- name: Device management with Azure IoT Tools for VS Code
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displayName: device twins, Azure Az PowerShell module, direct methods, cloud-to-device messages
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href: iot-hub-device-management-iot-toolkit.md

articles/iot-hub/iot-concepts-and-iot-hub.md

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- [Azure Logic Apps](../logic-apps/index.yml) to automate business processes.
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- [Azure Machine Learning](iot-hub-weather-forecast-machine-learning.md) to add machine learning and AI models to your solution.
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- [Azure Machine Learning](../machine-learning/index.yml) to add machine learning and AI models to your solution.
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- [Azure Stream Analytics](../stream-analytics/index.yml) to run real-time analytic computations on the data streaming from your devices.
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articles/iot-hub/iot-hub-weather-forecast-machine-learning.md

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includes/iot-hub-get-started-extended.md

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| [Save IoT Hub messages to Azure storage](../articles/iot-hub/tutorial-routing.md#route-to-a-storage-account) | Azure table storage |
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| [Visualize sensor data](../articles/iot-hub/iot-hub-live-data-visualization-in-power-bi.md) | Microsoft Power BI |
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| [Visualize sensor data](../articles/iot-hub/iot-hub-live-data-visualization-in-web-apps.md) | Azure Web Apps |
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| [Forecast weather with sensor data](../articles/iot-hub/iot-hub-weather-forecast-machine-learning.md) | Azure Machine Learning |
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| [Automatic anomaly detection and reaction](../articles/iot-hub/iot-hub-monitoring-notifications-with-azure-logic-apps.md) | Azure Logic Apps |
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## Next steps

includes/iot-hub-get-started-next-steps.md

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- [Use a web app to visualize real-time sensor data from your IoT hub](../articles/iot-hub/iot-hub-live-data-visualization-in-web-apps.md)
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- [Forecast weather by using the sensor data from your IoT hub in Azure Machine Learning](../articles/iot-hub/iot-hub-weather-forecast-machine-learning.md)
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- [Use ​​Logic ​​Apps for remote monitoring and notifications](../articles/iot-hub/iot-hub-monitoring-notifications-with-azure-logic-apps.md)

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