Initial analyze visualize commit

Author: dominicbetts

articles/iot/iot-overview-analyze-visualize.md

@@ -6,7 +6,7 @@ services: iot
 author: dominicbetts
 ms.author: dobett
 ms.topic: overview
-ms.date: 02/28/2024
+ms.date: 01/22/2025
 ms.custom: template-overview
 # Customer intent: As a solution builder, I want a high-level overview of the options for analyzing and visualizing device data in an IoT solution.
 ---
@@ -15,20 +15,46 @@ ms.custom: template-overview
 
 This overview introduces the key concepts around the options to analyze and visualize your IoT data. Each section includes links to content that provides further detail and guidance.
 
-The following diagram shows a high-level view of the components in a typical IoT solution. This article focuses on the areas relevant to analyzing and visualizing your IoT data.
+In Azure IoT, analysis and visualization services are used to identify and display business insights derived from your IoT data. For example, you can use a machine learning model to analyze device telemetry and predict when maintenance should be carried out on an industrial asset. You can also use a visualization tool to display a map of the location of your devices.
 
-:::image type="content" source="media/iot-overview-analyze-visualize/iot-architecture.svg" alt-text="Diagram that shows the high-level IoT solution architecture highlighting analysis and visualization areas." border="false":::
+# [Edge-based solution](#tab/edge)
 
-In Azure IoT, analysis and visualization services are used to identify and display business insights derived from your IoT data. For example, you can use a machine learning model to analyze device telemetry and predict when maintenance should be carried out on an industrial asset. You can also use a visualization tool to display a map of the location of your devices.
+The following diagram shows a high-level view of the components in a typical IoT solution. This article focuses on the areas relevant to analyzing and visualizing your IoT data:
+
+:::image type="content" source="media/iot-overview-analyze-visualize/iot-edge-visualization-architecture.svg" alt-text="Diagram that shows the high-level IoT solution architecture highlighting solution visualization areas." border="false":::
+
+# [Cloud-based solution](#tab/cloud)
+
+The following diagram shows a high-level view of the components in a typical IoT solution. This article focuses on the areas relevant to analyzing and visualizing your IoT data:
+
+:::image type="content" source="media/iot-overview-analyze-visualize/iot-cloud-visualization-architecture.svg" alt-text="Diagram that shows the high-level IoT solution architecture highlighting solution visualization areas." border="false":::
 
 ## Azure Digital Twins
 
 The [Azure Digital Twins](../digital-twins/overview.md) service lets you build and maintain models that are live, up-to-date representations of the real world. You can query, analyze, and generate visualizations from these models to extract business insights. An example model might be a representation of a building that includes information about the rooms, the devices in the rooms, and the relationships between the rooms and devices. The real-world data that populates these models is typically collected from IoT devices and sent through an IoT hub.
 
+## IoT Central
+
+IoT Central provides a rich set of features that you can use to analyze and visualize your IoT data. The following articles and tutorials show some examples of how to use IoT Central to analyze and visualize IoT data:
+
+- [How to use IoT Central data explorer to analyze device data](../iot-central/core/howto-create-analytics.md)
+- [Create and manage IoT Central dashboards](../iot-central/core/howto-manage-dashboards.md)
+
+---
+
 ## External services
 
 There are many services you can use to analyze and visualize your IoT data. Some services are designed to work with streaming IoT data, while others are more general-purpose. The following services are some of the most common ones used for analysis and visualization in IoT solutions:
 
+### Microsoft Fabric
+
+[Microsoft Fabric](/fabric/get-started/microsoft-fabric-overview) is an end-to-end analytics and data platform designed for enterprises that require a unified solution. It encompasses data movement, processing, ingestion, transformation, real-time event routing, and report building. It offers a comprehensive suite of services such as Data Science and Real-Time Analytics.
+
+The following articles show some examples of how to use Microsoft Fabric to analyze and visualize IoT data:
+
+- [Tutorial: Get insights from your processed data](../iot-operations/end-to-end-tutorials/tutorial-get-insights.md)
+- [Tutorial: Send data from an OPC UA server to Azure Data Lake Storage Gen 2](../iot-operations/connect-to-cloud/tutorial-opc-ua-to-data-lake.md)
+
 ### Azure Data Explorer
 
 [Azure Data Explorer](/azure/data-explorer/data-explorer-overview/) is a fully managed, high-performance, big-data analytics platform that makes it easy to analyze high volumes of data in near real time. The following articles and tutorials show some examples of how to use Azure Data Explorer to analyze and visualize IoT data:
@@ -37,6 +63,17 @@ There are many services you can use to analyze and visualize your IoT data. Some
 - [Export IoT data to Azure Data Explorer (IoT Central)](../iot-central/core/howto-export-to-azure-data-explorer.md)
 - [Azure Digital Twins query plugin for Azure Data Explorer](../digital-twins/concepts-data-explorer-plugin.md)
 
+### Power BI
+
+[Power BI](/power-bi/fundamentals/power-bi-overview) is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Power BI lets you easily connect to your data sources, visualize, and discover what's important, and share reports with anyone or everyone you want.
+
+- [Visualize real-time sensor data from Azure IoT Hub using Power BI](../iot-hub/iot-hub-live-data-visualization-in-power-bi.md)
+- [Export data from Azure IoT Central and visualize insights in Power BI](../iot-central/retail/tutorial-in-store-analytics-export-data-visualize-insights.md)
+
+### Grafana
+
+[Grafana](https://grafana.com/) is visualization and analytics software. It allows you to query, visualize, alert on, and explore your metrics, logs, and traces no matter where they're stored. It provides you with tools to turn your time-series database data into insightful graphs and visualizations. [Azure Managed Grafana](https://azure.microsoft.com/products/managed-grafana) is a fully managed service for analytics and monitoring solutions. To learn more about using Grafana in your IoT solution, see [Cloud IoT dashboards using Grafana with Azure IoT](https://sandervandevelde.wordpress.com/2021/06/15/cloud-iot-dashboards-using-grafana-with-azure-iot/).
+
 ### Databricks
 
 Use [Azure Databricks](/azure/databricks/introduction/) to process, store, clean, share, analyze, model, and monetize datasets with solutions from BI to machine learning. Use the Azure Databricks platform to build and deploy data engineering workflows, machine learning models, analytics dashboards, and more.
@@ -45,31 +82,13 @@ Use [Azure Databricks](/azure/databricks/introduction/) to process, store, clean
 
 ### Azure Stream Analytics
 
-Azure Stream Analytics is a fully managed stream processing engine that is designed to analyze and process large volumes of streaming data with low latency. Patterns and relationships can be identified in data that originates from various input sources including applications, devices, and sensors. You can use these patterns to trigger actions and initiate workflows such as creating alerts or feeding information to a reporting tool. Stream Analytics is also available on the Azure IoT Edge runtime, enabling data processing directly on the edge.
+Azure Stream Analytics is a fully managed stream processing engine that is designed to analyze and process large volumes of streaming data with low latency. Patterns and relationships can be identified in data that originates from various input sources including applications, devices, and sensors. You can use these patterns to trigger actions and initiate workflows such as creating alerts or feeding information to a reporting tool. In a cloud-based solution, Stream Analytics is also available on the Azure IoT Edge runtime, enabling data processing directly on the edge.
 
 - [Build an IoT solution by using Stream Analytics](../stream-analytics/stream-analytics-build-an-iot-solution-using-stream-analytics.md)
 - [Real-time data visualization of data from Azure IoT Hub](../iot-hub/iot-hub-live-data-visualization-in-power-bi.md)
 - [Extend Azure IoT Central with custom rules and notifications](../iot-central/core/howto-create-custom-rules.md)
 - [Deploy Azure Stream Analytics as an IoT Edge module](../iot-edge/tutorial-deploy-stream-analytics.md)
 
-### Power BI
-
-[Power BI](/power-bi/fundamentals/power-bi-overview) is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share reports with anyone or everyone you want.
-
-- [Visualize real-time sensor data from Azure IoT Hub using Power BI](../iot-hub/iot-hub-live-data-visualization-in-power-bi.md)
-- [Export data from Azure IoT Central and visualize insights in Power BI](../iot-central/retail/tutorial-in-store-analytics-export-data-visualize-insights.md)
-
 ### Azure Maps
 
 [Azure Maps](../azure-maps/about-azure-maps.md) is a collection of geospatial services and SDKs that use fresh mapping data to provide geographic context to web and mobile applications. For an IoT example, see [Integrate with Azure Maps (Azure Digital Twins)](../digital-twins/how-to-integrate-maps.md).
-
-### Grafana
-
-[Grafana](https://grafana.com/) is visualization and analytics software. It allows you to query, visualize, alert on, and explore your metrics, logs, and traces no matter where they're stored. It provides you with tools to turn your time-series database data into insightful graphs and visualizations. [Azure Managed Grafana](https://azure.microsoft.com/products/managed-grafana) is a fully managed service for analytics and monitoring solutions. To learn more about using Grafana in your IoT solution, see [Cloud IoT dashboards using Grafana with Azure IoT](https://sandervandevelde.wordpress.com/2021/06/15/cloud-iot-dashboards-using-grafana-with-azure-iot/).
-
-## IoT Central
-
-IoT Central provides a rich set of features that you can use to analyze and visualize your IoT data. The following articles and tutorials show some examples of how to use IoT Central to analyze and visualize IoT data:
-
-- [How to use IoT Central data explorer to analyze device data](../iot-central/core/howto-create-analytics.md)
-- [Create and manage IoT Central dashboards](../iot-central/core/howto-manage-dashboards.md)