This should be a batch process where it can schedule and pull the data automatically creates a file and drop it in the server.
As per the Oracle SR below is the comment.
Currently we can extract data from FTP server using SFTP connection but can't place data on FTP server after extracting using FDI.
https://blogs.oracle.com/analytics/post/configure-secure-file-transfer-protocol-connector-in-fusion-analytics
Very helpful information.
Thanks for sharing @User_VTIXP!
Hi Team, I understand from one of the product roadmap presentations that a new ERP feature is planned to allow specific data pipelines to be refreshed on an ad hoc basis. This would help address scenarios where certain AR/AP accounts have been deleted from Fusion but continue to exist in FDI. We have encountered a similar…
Current Limitation Customers using advanced HCM Area of Responsibility (AOR) security models cannot fully replicate these security rules in FDI. In particular: HCM AOR Exclusion Rules cannot be natively represented in the FDI Security Framework. SQL-based security criteria cannot be maintained and synchronized from the HCM…
Current limitation Associations can be maintained through automated synchronization mechanisms, while Elimination Rule assignments require manual user-by-user maintenance uploading a file in the application. No integration with API or database. Requested enhancement Provide an automated synchronization framework for…
Current limitation Security Contexts and Elimination Rules are currently assigned directly to users. Requested enhancement Allow Security Contexts and Elimination Rules to be assigned to Application Roles. Security would continue to be evaluated at the user level, while administration could be managed through role…
Summary We request that duplicate expenses be marked as anomalous in the Expense Anomaly Detection AI capability, so users can identify potential duplicate expense entries in the FDI front end. Background Oracle has clarified that anomaly detection (pattern-based, using historical claims) and duplicate detection…