Skip to end of metadata
Go to start of metadata

You are viewing an old version of this content. View the current version.

Compare with Current View Version History

« Previous Version 5 Next »

Azure Function

Azure Function could play a role as an orchestrator instead of using Azure Data Factory.

image-20240305-201421.png

  1. The API Manager will access the data in SAP and pull the last changes.

  2. The API Manager will push the data into the Data Lake.

  3. The blob starter will be triggered on change in Data Lake and will call the orchestrator.

  4. The orchestrator will orchestrate several activities, each one will return the needed data.

  5. The orchestrator at the end of the workflow will call the last activity.

  6. The last activity of the workflow will push the data into the Dataverse of Power Platform using the SDK of Power Platform (Software Developement Kit).

Azure Data Factory

Azure Data Factory is too much because the data volume is low. However, we could implement ADF as an orchestrator.

image-20240305-203224.png

  1. The API Manager will access the data in SAP and pull the last changes.

  2. The API Manager will push the data into the Data Lake.

  3. The blob starter will be triggered on change in Data Lake and will call the orchestrator Azure Data Factory (ADF).

  4. The orchestrator will orchestrate several activities, each one will return the needed data.

  5. The orchestrator at the end of the workflow will call the last activity.

  6. The last activity of the workflow will push the data into the Dataverse of Power Platform using the SDK of Power Platform (Software Developement Kit).

  • No labels