#SAP ECC PASSWORD#

But here the linked server would point to the Azure SQL database. Similar to the source dataset configuration, we need to create a linked server for the sink as well. So we have to create a table structure in the database to store the data.ДЄlso, we must set up the sink data set in the Azure Data Factory for Azure SQL database. In our scenario the output is Azure SQL table.

#SAP ECC PASSWORD#

Provide the ODATA service URL, user name and password for connecting to the ODATA service in that window.ДЄfter configuring the linked server, give the ODATA resource path in the connection tab. In the connection tab of the data set, select the option to create a new linked server. Then select the SAP ECC data store from the data store list.

PipelineВ is a logical group of activities that performs the job of moving data from/to.ДЇor the Source Dataset creation, connect to the Azure Data Factory(V2) and select the create datasetВ option as below:.

A sink dataset denotes the output for the activity. A source dataset denotes the input for an activity in the pipeline.

Data SetsВ represents the structures within the data stores.

Linked ServicesВ that defines the link where the data must be sourced from/to.

The key components of the Azure Data Factory are: Create the pipeline in Azure data factory(V2) for the data extraction from SAP ECC ODATA to the Azure SQL database.Create the Azure data Factory components that are required for pipeline.

Expose the SAP ECC data via ODATA Service ( Prerequisite Step.

Here is the high-level flow of the approach: In this blog we will focus on the data extraction from SAP ECC ODATA to the Azure SQL database. This step is a prerequisite for our data extraction solution and hence should not be skipped. The SAP ECC data must be exposed via the ODATA service. When it comes to SAP integration with Azure, a typical use case is to bring in the SAP ECC data to Azure for analytics and reporting.

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