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articles/azure-functions/functions-bindings-event-grid.md

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## Next steps
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* If you have questions, submit an issue to the team [here](https://github.com/Azure/azure-functions-eventgrid-extension/issues)
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* If you have questions, submit an issue to the team [here](https://github.com/Azure/azure-sdk-for-net/issues)
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* [Event Grid trigger][trigger]
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* [Event Grid output binding][binding]
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* [Run a function when an Event Grid event is dispatched](./functions-bindings-event-grid-trigger.md)
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---
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title: Azure Video Indexer insights overview
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description: This article gives a brief overview of Azure Video Indexer insights.
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ms.topic: conceptual
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ms.date: 10/19/2022
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ms.author: juliako
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---
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# Azure Video Indexer insights
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Insights contain an aggregated view of the data: faces, topics, emotions. Azure Video Indexer analyzes the video and audio content by running 30+ AI models, generating rich insights. For more information about available models, see [overview](video-indexer-overview.md).
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[!INCLUDE [insights](./includes/insights.md)]
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The [Azure Video Indexer](https://www.videoindexer.ai/) website enables you to use your video's deep insights to: find the right media content, locate the parts that you’re interested in, and use the results to create an entirely new project. Once created, the project can be rendered and downloaded from Azure Video Indexer and be used in your own editing applications or downstream workflows. For more information, see [Use editor to create projects](use-editor-create-project.md).
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Once you are [set up](video-indexer-get-started.md) with Azure Video Indexer, start using [insights](video-indexer-output-json-v2.md) and check out other **How to guides**.

articles/azure-video-indexer/toc.yml

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href: accounts-overview.md
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- name: Language support
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href: language-support.md
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- name: Insights
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href: insights-overview.md
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- name: Quickstarts
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expanded: true
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items:
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items:
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- name: Detected clothing (preview)
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href: detected-clothing.md
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- name: Featured clothing (preview)
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href: observed-people-featured-clothing.md
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- name: Featured clothing (preview)
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href: observed-people-featured-clothing.md
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- name: Matched person (preview)
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href: matched-person.md
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- name: Audio effects detection (preview)

articles/cosmos-db/postgresql/quickstart-run-queries.md

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sum((payload->>'distinct_size')::int) AS num_commits
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FROM github_events
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WHERE event_type = 'PushEvent' AND
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payload @> '{"ref":"refs/heads/main"}'
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payload @> '{"ref":"refs/heads/master"}'
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GROUP BY hour
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ORDER BY hour;
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```

articles/governance/policy/toc.yml

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href: ./samples/nist-sp-800-53-r4.md
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- name: NIST SP 800-171 R2
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href: ./samples/nist-sp-800-171-r2.md
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- name: RBI ITF Banks v2016
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href: ./samples/RBI_ITF_Banks_v2016.md
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- name: RBI ITF NBFC v2017
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href: ./samples/rbi_itf_nbfc_v2017.md
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- name: SWIFT CSCF 2021

articles/iot-hub/iot-hub-how-to-order-connection-state-events.md

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1. The Logic App processes the HTTP request based on a condition you set
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1. The Logic App logs connection or disconnection events into a new document in Cosmos DB
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:::image type="content" source="media/iot-hub-how-to-order-connection-state-events/event-grid-setup.png" alt-text="Screenshot of the setup we'll create for this article. This setup shows how all services and devices are connected." lightbox="media/iot-hub-how-to-order-connection-state-events/event-grid-setup.png":::
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<!--
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A sequence number is used in the *Device Connected* and *Device Disconnected* to track and order events.
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articles/orbital/TOC.yml

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href: spacecraft-object.md
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- name: Organize spaceborne geospatial data with STAC
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- name: SAR reference architecture
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- name: Process Synthetic Aperture Radar (SAR) data
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href: sar-reference-architecture.md

articles/orbital/index.yml

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url: /azure/architecture/industries/aerospace/geospatial-processing-analytics
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- text: Organize spaceborne geospatial data with STAC
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url: organize-stac-data.md
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- text: SAR reference architecture
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- text: Process Synthetic Aperture Radar (SAR) data
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- linkListType: tutorial
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- text: Contact profile
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- text: Spacecraft object
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url: spacecraft-object.md
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url: spacecraft-object.md

articles/orbital/sar-reference-architecture.md

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---
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title: SAR reference architecture - Azure Orbital Analytics
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description: Learn about how SAR data is processed horizontally.
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title: Process Synthetic Aperture Radar (SAR) data - Azure Orbital Analytics
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description: View a reference architecture that enables processing SAR/Remote Sensing data on Azure by using Apache Spark on Azure Synapse.
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author: meaghanlewis
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ms.service: orbital
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ms.topic: conceptual
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ms.custom: ga
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ms.date: 10/11/2022
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ms.date: 10/20/2022
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ms.author: harjsin
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---
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# SAR reference architecture
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# Process Synthetic Aperture Radar (SAR) data in Azure
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SAR is a form of radar that is used to create two-dimensional images of three-dimensional reconstructions of objects, such as landscapes. SAR uses the motion of the radar antenna over a target to provide finer spatial resolution than conventional stationary beam-scanning radars.
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- [Azure Synapse](https://azure.microsoft.com/services/synapse-analytics)
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- [Apache Spark](https://spark.apache.org)
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- [Argo](https://argoproj.github.io/)
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- [Argo](https://argoproj.github.io/)

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