Azure Integration Runtime: The Backbone of Azure Data Factory and Synapse Analytics

In the ever-evolving world of data integration, the Integration Runtime (IR) is the unsung hero, powering the data movement and transformation capabilities of Azure Data Factory and Azure Synapse Analytics. This guide will take you through the process of creating and configuring an Azure Integration Runtime, empowering you to unlock the full potential of your data integration projects.

The Azure Integration Runtime: Your Managed Data Integration Compute

The Azure Integration Runtime is a fully managed compute infrastructure that seamlessly integrates with Azure Data Factory and Azure Synapse Analytics. It provides a native, cloud-based solution for performing data movement and dispatching data transformation activities, all while supporting connections to a wide range of data sources and compute services, including HDInsight.

One of the key benefits of the Azure Integration Runtime is its ease of use. You don’t need to worry about managing the underlying infrastructure or configuring specific compute details - it’s all handled automatically by the Azure platform. Whether you’re working with cloud-based data stores or public network resources, the Azure IR has you covered.

Creating an Azure Integration Runtime: Streamlining Data Integration

There are two primary ways to create and configure an Azure Integration Runtime: through Azure PowerShell and the user interface (UI).

Creating an Azure IR via Azure PowerShell

Using the Set-AzDataFactoryV2IntegrationRuntime PowerShell cmdlet, you can easily create an Azure Integration Runtime by specifying the name, location, and type. Here’s an example command to create an Azure IR in the West Europe region:

Set-AzDataFactoryV2IntegrationRuntime -DataFactoryName "SampleV2DataFactory1" -Name "MySampleAzureIR" -ResourceGroupName "ADFV2SampleRG" -Type Managed -Location "West Europe