For details about the copy operation, select the Details link (eyeglasses icon) in the Actions column. In this example, there is only one activity, so you see only one entry in the list. To see activity runs associated with the pipeline run, select the View Activity Runs link in the Actions column. You can use links in the Actions column to view activity details and to rerun the pipeline. You see a pipeline run that is triggered by a manual trigger. Select Add Trigger on the toolbar, and then select Trigger Now. This action publishes entities (datasets, and pipelines) you created to Data Factory. You can also see the JSON code associated with the pipeline by clicking Code on the upper-right. To validate the pipeline, select Validate from the tool bar. Refer here for how to set up service principal authentication for Azure Blob Storage. In the New Linked Service window, enter "AzureStorageLinkedService" as name, select "Service Principal" from the dropdown list of authentication methods, fill in the Service Endpoint, Tenant, Service principal ID, and Service principal key, then select Save to deploy the linked service. On the General tab of the Properties window, in Name, enter "OutputBlobDataset". Select on Edit button next to the Azure Blob Storage dataset to continue the data configuration. In this tutorial, you copy Microsoft 365 (Office 365) data into an Azure Blob Storage. Select Azure Blob Storage, select Binary format, and then select Continue. In the New Dataset window, notice that only the supported destinations are selected when copying from Microsoft 365 (Office 365). Go to the pipeline > Sink tab, and select + New to create a sink dataset. Select on the Import Schema tab to import the schema for Message dataset. You are required to choose one of the date filters and provide the start time and end time values. See Microsoft 365 (Office 365) dataset properties section for how you configure these settings. User scope and user scope filter are optional predicates that you can define to restrict the data you want to extract out of Microsoft 365 (Office 365). Now go back to the pipeline > Source tab to continue configuring additional properties for Microsoft 365 (Office 365) data extraction. Next to Table, choose the down-arrow to expand the list of available Microsoft 365 (Office 365) datasets, and choose "BasicDataSet_v0.Message_v0" from the drop-down list: In the New Linked Service window, enter "Office365LinkedService" as name, enter the service principal ID and service principal key, then test connection and select Create to deploy the linked service.Īfter the linked service is created, you are back in the dataset settings. Next to the Linked service text box, select + New. Go to the Connection tab of the Properties window. In the General tab at the bottom of the Properties window, enter "SourceOffice365Dataset" for Name. You see a new tab opened for Microsoft 365 (Office 365) dataset. Select on the Edit button next to the Microsoft 365 (Office 365) dataset to continue the data configuration. You are now in the copy activity configuration tab. In the New Dataset window, select Microsoft 365 (Office 365), and then select Continue. Go to the pipeline > Source tab, select + New to create a source dataset. The self-hosted integration runtime and the managed virtual network integration runtime are not supported. Please use Azure integration runtime in both source and sink linked services. Specify "CopyFromOffice365ToBlob" as activity name. In the Activities tool box > Move & Transform category > drag and drop the Copy activity from the tool box to the pipeline designer surface. In the General tab for the pipeline, enter "CopyPipeline" for Name of the pipeline. Select Open on the Open Azure Data Factory Studio tile to launch the Data Integration application in a separate tab. After creating it, browse to the data factory in the Azure portal. If you have not created your data factory yet, follow the steps in Quickstart: Create a data factory by using the Azure portal and Azure Data Factory Studio to create one. Refer to Microsoft 365 (Office 365) connector article on copying data from Microsoft 365 (Office 365) in general. You can follow similar steps to copy data to Azure Data Lake Gen1 or Gen2. This article shows you how to use the Data Factory load data from Microsoft 365 (Office 365) into Azure Blob storage.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |