Sunday, 5 May 2024

Removal of Support for Custom Application in Data Management

Custom Application in Data Management

Custom application was used to extract data from the EPM Cloud, and then the data was pushed into a flat file instead of being loaded to an EPM Cloud application. The custom application was superseded by the Data Export to File feature in an earlier update. The Data Export to File feature has enhanced functions and capabilities.

Removal of Support for Custom Application in Data Management

Since the September (23.09) update, custom target applications can no longer be added in Data Management. (Existing integrations that use a custom target application will not be impacted and will still run without any changes.) 

If you still have a custom target application, it is recommended that you use the Upgrade Custom Applications option to migrate your existing custom target application to a data export to file application. Follow the below steps to upgrade 

  • On the Workflow tab, under Other -> System Maintenance Tasks, select Upgrade Custom Applications.


  • Click Execute.
  • From Execute Script, and then in Value, specify the name of the custom target application to migrate from the LOV.
  • To browse custom target applications, click Image shows Search button, and from the Search Parameter Value screen, select the custom target application and click OKTo migrate all custom applications, in Value, enter All Custom Applications. 
  • You can monitor the progress, go to the Workflow tab, under Monitor -> Process Details.


  • You can see the Application Type before and after migration
         Before migration
                 

After migration

           


The migration converts existing file formats from the custom target application to the file formats used in the data export to file option and retains all the existing setup. When the custom target application has been converted, you can run same integration as before. Data export file applications are available both in Data Management and Data Integration.

Thank you!














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