The following sections provide details about properties that are used to define Data Factory and Synapse pipeline entities specific to file system. Search for file and select the File System connector.Ĭonfigure the service details, test the connection, and create the new linked service. Use the following steps to create a file system linked service in the Azure portal UI.īrowse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New: To perform the Copy activity with a pipeline, you can use one of the following tools or SDKs:Ĭreate a file system linked service using UI

You can also use the managed virtual network integration runtime feature in Azure Data Factory to access the on-premises network without installing and configuring a self-hosted integration runtime.įor more information about the network security mechanisms and options supported by Data Factory, see Data access strategies. If the access is restricted to IPs that are approved in the firewall rules, you can add Azure Integration Runtime IPs to the allow list. If your data store is a managed cloud data service, you can use the Azure Integration Runtime. If your data store is located inside an on-premises network, an Azure virtual network, or Amazon Virtual Private Cloud, you need to configure a self-hosted integration runtime to connect to it.

Copying files as-is or parsing/generating files with the supported file formats and compression codecs.

Copying files using Windows authentication.

To use a Linux file share, install Samba on your Linux server.

Copying files from/to network file share.

Specifically, this file system connector supports: ① Azure integration runtime ② Self-hosted integration runtime This file system connector is supported for the following capabilities: Supported capabilities To learn more read the introductory article for Azure Data Factory or Azure Synapse Analytics. This article outlines how to copy data to and from file system.

Format factory for linux