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Copy file name to clipboardExpand all lines: articles/data-explorer/create-cluster-database-cli.md
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---
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title: 'Quickstart: Create an Azure Data Explorer cluster and database by using Azure CLI'
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title: 'Create an Azure Data Explorer cluster and database by using Azure CLI'
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description: Learn how to create an Azure Data Explorer cluster and database by using the Azure CLI
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author: radennis
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ms.author: radennis
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ms.reviewer: orspodek
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ms.service: data-explorer
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ms.topic: quickstart
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ms.date: 04/10/2019
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ms.topic: conceptual
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ms.date: 06/03/2019
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# Create an Azure Data Explorer cluster and database by using Azure CLI
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> *[Python](create-cluster-database-python.md)
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>
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this quickstart, you create a cluster and a database by using Azure CLI.
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this article, you create a cluster and a database by using Azure CLI.
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## Prerequisites
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To complete this quickstart, you need an Azure subscription. If you don't have one, [create a free account](https://azure.microsoft.com/free/) before you begin.
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To complete this article, you need an Azure subscription. If you don't have one, [create a free account](https://azure.microsoft.com/free/) before you begin.
If you choose to install and use the Azure CLI locally, this quickstart requires the Azure CLI version 2.0.4 or later. Run `az --version` to check your version. If you need to install or upgrade, see [Install the Azure CLI](/cli/azure/install-azure-cli?view=azure-cli-latest).
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If you choose to install and use the Azure CLI locally, this article requires the Azure CLI version 2.0.4 or later. Run `az --version` to check your version. If you need to install or upgrade, see [Install the Azure CLI](/cli/azure/install-azure-cli?view=azure-cli-latest).
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## Configure the CLI parameters
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## Clean up resources
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* If you plan to follow our other quickstarts and tutorials, keep the resources you created.
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* If you plan to follow our other articles, keep the resources you created.
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* To clean up resources, delete the cluster. When you delete a cluster, it also deletes all the databases in it. Use the following command to delete your cluster:
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```azurecli-interactive
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## Next steps
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> [!div class="nextstepaction"]
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> [Quickstart: Ingest data using the Azure Data Explorer Python library](python-ingest-data.md)
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* [Ingest data using the Azure Data Explorer Python library](python-ingest-data.md)
Copy file name to clipboardExpand all lines: articles/data-explorer/create-cluster-database-csharp.md
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title: 'Quickstart: Create an Azure Data Explorer cluster and database by using C#'
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title: 'Create an Azure Data Explorer cluster and database by using C#'
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description: Learn how to create an Azure Data Explorer cluster and database by using the C#
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author: oflipman
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ms.author: oflipman
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ms.reviewer: orspodek
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ms.service: data-explorer
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ms.topic: quickstart
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ms.date: 03/25/2019
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ms.topic: conceptual
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ms.date: 06/03/2019
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---
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# Create an Azure Data Explorer cluster and database by using C#
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> *[Python](create-cluster-database-python.md)
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>
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this quickstart, you create a cluster and a database by using C#.
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this article, you create a cluster and a database by using C#.
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## Prerequisites
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## Clean up resources
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* If you plan to follow our other quickstarts and tutorials, keep the resources you created.
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* If you plan to follow our other articles, keep the resources you created.
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* To clean up resources, delete the cluster. When you delete a cluster, it also deletes all the databases in it. Use the following command to delete your cluster:
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```C#-interactive
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## Next steps
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> [!div class="nextstepaction"]
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> [Quickstart: Ingest data using the Azure Data Explorer .NET Standard SDK (Preview)](net-standard-ingest-data.md)
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* [Ingest data using the Azure Data Explorer .NET Standard SDK (Preview)](net-standard-ingest-data.md)
Copy file name to clipboardExpand all lines: articles/data-explorer/create-cluster-database-powershell.md
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title: 'Quickstart: Create an Azure Data Explorer cluster and database by using PowerShell'
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title: 'Create an Azure Data Explorer cluster and database by using PowerShell'
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description: Learn how to create an Azure Data Explorer cluster and database by using PowerShell
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author: oflipman
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ms.author: oflipman
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ms.reviewer: orspodek
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ms.service: data-explorer
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ms.topic: quickstart
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ms.date: 03/25/2019
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ms.topic: conceptual
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ms.date: 06/03/2019
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> *[Python](create-cluster-database-python.md)
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>
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this quickstart, you create a cluster and a database by using Powershell. You can run PowerShell cmdlets and scripts on Windows, Linux, or in [Azure Cloud Shell](../cloud-shell/overview.md) with [Az.Kusto](/powershell/module/az.kusto/?view=azps-1.4.0#kusto) to create and configure Azure Data Explorer clusters and databases.
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this article, you create a cluster and a database by using Powershell. You can run PowerShell cmdlets and scripts on Windows, Linux, or in [Azure Cloud Shell](../cloud-shell/overview.md) with [Az.Kusto](/powershell/module/az.kusto/?view=azps-1.4.0#kusto) to create and configure Azure Data Explorer clusters and databases.
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## Prerequisites
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If you choose to install and use the Azure CLI locally, this quickstart requires the Azure CLI version 2.0.4 or later. Run `az --version` to check your version. If you need to install or upgrade, see [Install the Azure CLI](/cli/azure/install-azure-cli?view=azure-cli-latest).
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If you choose to install and use the Azure CLI locally, this article requires the Azure CLI version 2.0.4 or later. Run `az --version` to check your version. If you need to install or upgrade, see [Install the Azure CLI](/cli/azure/install-azure-cli?view=azure-cli-latest).
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## Configure parameters
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## Clean up resources
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* If you plan to follow our other quickstarts and tutorials, keep the resources you created.
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* If you plan to follow our other articles, keep the resources you created.
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* To clean up resources, delete the cluster. When you delete a cluster, it also deletes all the databases in it. Use the following command to delete your cluster:
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```azurepowershell-interactive
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Copy file name to clipboardExpand all lines: articles/data-explorer/create-cluster-database-python.md
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title: 'Quickstart: Create an Azure Data Explorer cluster and database by using Python'
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title: 'Create an Azure Data Explorer cluster and database by using Python'
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description: Learn how to create an Azure Data Explorer cluster and database by using Python.
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author: oflipman
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ms.author: oflipman
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ms.reviewer: orspodek
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ms.service: data-explorer
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ms.topic: quickstart
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ms.date: 03/25/2019
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ms.topic: conceptual
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ms.date: 06/03/2019
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# Create an Azure Data Explorer cluster and database by using Python
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> *[Python](create-cluster-database-python.md)
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>
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this quickstart, you create a cluster and a database by using Python.
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Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. To use Azure Data Explorer, you first create a cluster, and create one or more databases in that cluster. Then you ingest (load) data into a database so that you can run queries against it. In this article, you create a cluster and a database by using Python.
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## Prerequisites
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## Clean up resources
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* If you plan to follow our other quickstarts and tutorials, keep the resources you created.
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* If you plan to follow our other articles, keep the resources you created.
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* To clean up resources, delete the cluster. When you delete a cluster, it also deletes all the databases in it. Use the following command to delete your cluster:
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```Python
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## Next steps
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> [!div class="nextstepaction"]
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> [Quickstart: Ingest data using the Azure Data Explorer Python library](python-ingest-data.md)
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* [Ingest data using the Azure Data Explorer Python library](python-ingest-data.md)
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title: 'Quickstart: Ingest Azure Blobs into Azure Data Explorer'
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description: In this quickstart, you learn how to send storage account data to Azure Data Explorer using an Event Grid subscription.
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title: 'Ingest Azure Blobs into Azure Data Explorer'
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description: In this article, you learn how to send storage account data to Azure Data Explorer using an Event Grid subscription.
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author: radennis
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ms.author: radennis
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ms.reviewer: orspodek
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ms.service: data-explorer
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ms.topic: quickstart
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ms.date: 01/30/2019
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ms.topic: conceptual
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ms.date: 06/03/2019
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# Customer intent: As a database administrator, I want Azure Data Explorer to track my blob storage and ingest new blobs.
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# Quickstart: Ingest blobs into Azure Data Explorer by subscribing to Event Grid notifications
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# Ingest blobs into Azure Data Explorer by subscribing to Event Grid notifications
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Azure Data Explorer is a fast and scalable data exploration service for log and telemetry data. It offers continuous ingestion (data loading) from blobs written to blob containers.
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In this quickstart, you learn how to set an [Azure Event Grid](/azure/event-grid/overview) subscription, and route events to Azure Data Explorer via an event hub. To begin, you should have a storage account with an event grid subscription that sends notifications to Azure Event Hubs. Then you'll create an Event Grid data connection and see the data flow throughout the system.
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In this article, you learn how to set an [Azure Event Grid](/azure/event-grid/overview) subscription, and route events to Azure Data Explorer via an event hub. To begin, you should have a storage account with an event grid subscription that sends notifications to Azure Event Hubs. Then you'll create an Event Grid data connection and see the data flow throughout the system.
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## Prerequisites
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> [!NOTE]
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> Azure Data Explorer has an aggregation (batching) policy for data ingestion designed to optimize the ingestion process.
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By default, the policy is configured to 5 minutes.
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You’ll be able to alter the policy at a later time if needed. In this quickstart you can expect a latency of a few minutes.
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You’ll be able to alter the policy at a later time if needed. In this article you can expect a latency of a few minutes.
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1. In the Azure portal, under your event grid, you see the spike in activity while the app is running.
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## Next steps
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> [!div class="nextstepaction"]
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> [Quickstart: Query data in Azure Data Explorer](web-query-data.md)
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* [Query data in Azure Data Explorer](web-query-data.md)
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title: 'Quickstart: Ingest data from Event Hub into Azure Data Explorer'
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description: 'In this quickstart, you learn how to ingest (load) data into Azure Data Explorer from Event Hub.'
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title: 'Ingest data from Event Hub into Azure Data Explorer'
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description: 'In this article, you learn how to ingest (load) data into Azure Data Explorer from Event Hub.'
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author: orspod
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ms.reviewer: mblythe
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ms.service: data-explorer
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ms.topic: quickstart
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ms.date: 05/29/2019
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ms.topic: conceptual
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ms.date: 06/03/2019
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# Customer intent: As a database administrator, I want to ingest data into Azure Data Explorer from an event hub, so I can analyze streaming data.
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# Quickstart: Ingest data from Event Hub into Azure Data Explorer
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# Ingest data from Event Hub into Azure Data Explorer
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Azure Data Explorer is a fast and highly scalable data exploration service for log and telemetry data. Azure Data Explorer offers ingestion (data loading) from Event Hubs, a big data streaming platform and event ingestion service. [Event Hubs](/azure/event-hubs/event-hubs-about) can process millions of events per second in near real-time. In this quickstart, you create an event hub, connect to it from Azure Data Explorer and see data flow through the system.
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Azure Data Explorer is a fast and highly scalable data exploration service for log and telemetry data. Azure Data Explorer offers ingestion (data loading) from Event Hubs, a big data streaming platform and event ingestion service. [Event Hubs](/azure/event-hubs/event-hubs-about) can process millions of events per second in near real-time. In this article, you create an event hub, connect to it from Azure Data Explorer and see data flow through the system.
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## Create an event hub
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In this quickstart, you generate sample data and send it to an event hub. The first step is to create an event hub. You do this by using an Azure Resource Manager template in the Azure portal.
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In this article, you generate sample data and send it to an event hub. The first step is to create an event hub. You do this by using an Azure Resource Manager template in the Azure portal.
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1. To create an event hub, use the following button to start the deployment. Right-click and select **Open in new window**, so you can follow the rest of the steps in this article.
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[](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstart-templates%2Fmaster%2F201-event-hubs-create-event-hub-and-consumer-group%2Fazuredeploy.json)
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[](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-quickstarts-templates%2Fmaster%2F201-event-hubs-create-event-hub-and-consumer-group%2Fazuredeploy.json)
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The **Deploy to Azure** button takes you to the Azure portal to fill out a deployment form.
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| Subscription | Your subscription | Select the Azure subscription that you want to use for your event hub.|
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| Resource group |*test-hub-rg*| Create a new resource group. |
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| Location | *West US* | Select *West US* for this quickstart. For a production system, select the region that best meets your needs. Create the event hub namespace in the same Location as the Kusto cluster for best performance (most important for event hub namespaces with high throughput).
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| Location | *West US* | Select *West US* for this article. For a production system, select the region that best meets your needs. Create the event hub namespace in the same Location as the Kusto cluster for best performance (most important for event hub namespaces with high throughput).
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| Namespace name | A unique namespace name | Choose a unique name that identifies your namespace. For example, *mytestnamespace*. The domain name *servicebus.windows.net* is appended to the name you provide. The name can contain only letters, numbers, and hyphens. The name must start with a letter, and it must end with a letter or number. The value must be between 6 and 50 characters long.
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| Event hub name |*test-hub*| The event hub sits under the namespace, which provides a unique scoping container. The event hub name must be unique within the namespace. |
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| Consumer group name |*test-group*| Consumer groups enable multiple consuming applications to each have a separate view of the event stream. |
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## Next steps
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> [!div class="nextstepaction"]
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> [Quickstart: Query data in Azure Data Explorer](web-query-data.md)
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* [Query data in Azure Data Explorer](web-query-data.md)
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