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Merge pull request #49556 from nabhishek/patch-31
updated arm template for self-hosted IR creation
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articles/data-factory/create-self-hosted-integration-runtime.md

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@@ -24,18 +24,21 @@ A self-hosted integration runtime is capable of running copy activities between
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This document introduces how you can create and configure Self-hosted IR.
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## High-level steps to install self-hosted IR
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1. Create a Self-hosted integration runtime. Here is a PowerShell example:
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1. Create a Self-hosted integration runtime. You can use ADF UI for creating the self-hosted IR. Here is a PowerShell example:
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```powershell
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Set-AzureRmDataFactoryV2IntegrationRuntime -ResourceGroupName $resouceGroupName -DataFactoryName $dataFactoryName -Name $selfHostedIntegrationRuntimeName -Type SelfHosted -Description "selfhosted IR description"
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```
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- Download and install self-hosted integration runtime (on local machine).
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- Retrieve authentication key and register self-hosted integration runtime with the key. Here is a PowerShell example:
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2. Download and install self-hosted integration runtime (on local machine).
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3. Retrieve authentication key and register self-hosted integration runtime with the key. Here is a PowerShell example:
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```powershell
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Get-AzureRmDataFactoryV2IntegrationRuntimeKey -ResourceGroupName $resouceGroupName -DataFactoryName $dataFactoryName -Name $selfHostedIntegrationRuntime.
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```
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## Setting up self-hosted IR on Azure VM using Azure Resource Manager Template (automatation)
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You can automate self-hosted IR setup on an Azure VM using [this Azure Resource Manager template](https://github.com/Azure/azure-quickstart-templates/tree/master/101-vms-with-selfhost-integration-runtime). This provides an easy way to have a fully functioning Self-hosted IR inside Azure VNet with High Avalaibility and Scalability feature (as long as you set node count to be 2 or higher).
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## Command flow and data flow
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When you move the data between on-premises and cloud, the activity uses a self-hosted integration runtime to transfer the data from on-premises data source to cloud and vice versa.
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