What should you deploy on a virtual machine running Windows Server 2019 to support Azure Data Factory integration with Azure Data Lake Storage?

To facilitate integration between Azure Data Factory and Azure Data Lake Storage when using a virtual machine running Windows Server 2019, deploying the self-hosted integration runtime is essential. The self-hosted integration runtime acts as a bridge that enables data movement and transformation between different network environments. This means it can connect on-premises data sources or services that may not be directly accessible to Azure Data Factory.

By using the self-hosted integration runtime, you can set up secure communication and data flow to and from Azure Data Lake Storage, ensuring that data is transferred seamlessly. Additionally, this runtime can be configured to manage the data integration process, executing tasks that involve data transformation, scheduling, and triggering workflows within Azure Data Factory.

In contrast, the on-premises data gateway is typically used for connecting on-premises data sources to various Azure services, but it is more geared towards services like Power BI or Logic Apps rather than direct integration with Azure Data Factory. The Azure Pipelines agent is intended for automating CI/CD workflows and is not relevant for data integration scenarios. The Azure File Sync agent is designed for synchronizing files between on-premises Windows Servers and Azure File Storage, which does not fulfill the integration needs between Azure Data Factory and Azure Data Lake Storage.