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[Azure Cognitive Search] Tutorial H2 alignment
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articles/search/search-faceted-navigation.md

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## Sample code and demo
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This article uses a job search portal as an example. The example is implemented as an ASP.NET MVC application.
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- See and test the working demo online at [Azure Cognitive Search Job Portal Demo](https://azjobsdemo.azurewebsites.net/).
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- See and test the working demo online at [Azure Cognitive Search Job Portal Demo](http://azjobsdemo.azurewebsites.net/).
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- Download the code from the [Azure-Samples repo on GitHub](https://github.com/Azure-Samples/search-dotnet-asp-net-mvc-jobs).
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- Download the code from the [Azure-Samples repo on GitHub](https://github.com/Azure-Samples/search-dotnet-asp-net-mvc-jobs).
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## Get started
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If you're new to search development, the best way to think of faceted navigation is that it shows the possibilities for self-directed search. It’s a type of drill-down search experience, based on predefined filters, used for quickly narrowing down search results through point-and-click actions.

articles/search/search-indexer-tutorial.md

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ms.author: heidist
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ms.service: cognitive-search
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ms.topic: tutorial
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ms.date: 02/26/2020
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ms.date: 02/28/2020
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#Customer intent: As a developer, I want an introduction the indexing Azure SQL data for Azure Cognitive Search.
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---
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> [!Note]
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> You can use the free service for this tutorial. A free search service limits you to three indexes, three indexers, and three data sources. This tutorial creates one of each. Before starting, make sure you have room on your service to accept the new resources.
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## Download source code
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## Download files
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Source code for this tutorial is in the [DotNetHowToIndexer](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToIndexers) folder in the [Azure-Samples/search-dotnet-getting-started](https://github.com/Azure-Samples/search-dotnet-getting-started) GitHub repository.
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articles/search/search-semi-structured-data.md

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ms.author: heidist
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ms.service: cognitive-search
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ms.topic: conceptual
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ms.date: 02/14/2020
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ms.date: 02/28/2020
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#Customer intent: As a developer, I want an introduction the indexing Azure blob data for Azure Cognitive Search.
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---
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## Prerequisites
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The following services, tools, and data are used in this quickstart.
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+ [Azure Storage](https://docs.microsoft.com/azure/storage/common/storage-quickstart-create-account)
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+ [Postman desktop app](https://www.getpostman.com/)
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+ [Create](search-create-service-portal.md) or [find an existing search service](https://ms.portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices)
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[Create an Azure Cognitive Search service](search-create-service-portal.md) or [find an existing service](https://ms.portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) under your current subscription. You can use a free service for this tutorial.
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> [!Note]
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> You can use the free service for this tutorial. A free search service limits you to three indexes, three indexers, and three data sources. This tutorial creates one of each. Before starting, make sure you have room on your service to accept the new resources.
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[Create an Azure storage account](https://docs.microsoft.com/azure/storage/common/storage-quickstart-create-account) for storing the sample data.
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[Postman desktop app](https://www.getpostman.com/) for sending requests to Azure Cognitive Search.
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## Download files
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[Clinical-trials-json.zip](https://github.com/Azure-Samples/storage-blob-integration-with-cdn-search-hdi/raw/master/clinical-trials-json.zip) contains the data used in this tutorial. Download and unzip this file to its own folder. Data originates from [clinicaltrials.gov](https://clinicaltrials.gov/ct2/results), converted to JSON for this tutorial.
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articles/search/tutorial-multiple-data-sources.md

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ms.date: 02/28/2020
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# C# Tutorial: Combine data from multiple data sources in one Azure Cognitive Search index
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## Prerequisites
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The following services, tools, and data are used in this quickstart.
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+ [Azure Cosmos DB](https://docs.microsoft.com/azure/cosmos-db/create-cosmosdb-resources-portal)
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+ [Azure Storage](https://docs.microsoft.com/azure/storage/common/storage-quickstart-create-account)
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+ [Visual Studio 2019](https://visualstudio.microsoft.com/)
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+ [Create](search-create-service-portal.md) or [find an existing search service](https://ms.portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices)
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- [Create an Azure Cognitive Search service](search-create-service-portal.md) or [find an existing service](https://ms.portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) under your current subscription. You can use a free service for this tutorial.
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> [!Note]
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> You can use the free service for this tutorial. A free search service limits you to three indexes, three indexers, and three data sources. This tutorial creates one of each. Before starting, make sure you have room on your service to accept the new resources.
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- [Create an Azure Cosmos DB account](https://docs.microsoft.com/azure/cosmos-db/create-cosmosdb-resources-portal) for storing the sample hotel data.
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- [Create an Azure storage account](https://docs.microsoft.com/azure/storage/common/storage-quickstart-create-account) for storing the sample room data.
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- [Install Visual Studio 2019](https://visualstudio.microsoft.com/) to use as the IDE.
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### Install the project from GitHub
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## Download files
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1. Locate the sample repository on GitHub: [azure-search-dotnet-samples](https://github.com/Azure-Samples/azure-search-dotnet-samples).
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1. Select **Clone or download** and make your private local copy of the repository.

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