Oracle Fusion Cloud ERP (Enterprise Resource Planning) updates get released quarterly. They include enhancements to functionality, bug fixes, and security updates. The updated modules, the nature of the changes, and the overall complexity of the patch vary depending on the oracle cloud quarterly updates. This makes it impossible for organizations to forecast their impact on an Oracle Cloud system.
Does Oracle Cloud Quarterly Updates Impact the Conversion of Data?
Oracle cloud quarterly updates affect data conversion since File Based Data Import (FBDI) methods, and templates are always improving to meet the needs of growing customers. Even though these updates are beneficial to all, there are five significant risks associated with Oracle’s quarterly patch. This guide provides the solutions for these risks and will help organizations grow businesses and avoid data migration failure.
#Risk 1: Patching necessitates system downtime
Solution: Schedule projects and data loads around Oracle patches.
Review schedule for updates to learn when Oracle cloud quarterly updates get released. Plan implementation test cycles around these patch date to avoid test cycle interruptions. Arrange loads ahead of time to ensure that all planned processes get finished before the quarterly patch. Also, don’t resume loads until Oracle contact confirms that the patch is complete in the environment that it’s loading into.
#Risk 2: File-Based Data Import Template Changes (FBDIs)
Solution: Examine the updates to FBDI spreadsheets before applying the patch.
Oracle publishes the latest File Based Data Import (FBDI) templates for each patch before the system update. Most FBDIs will not change between patches, but those that do shall get converted using the new template before the patch implementation. The FBDI has new columns, deleted columns, and updated fields. If the patch doesn’t implement correctly, data may load into the wrong fields. Compare the new FBDI templates to the existing FBDI version to identify changes.
#Risk 3: LOV Changes
Solution: Review and extract configuration prior to loading data.
Many Oracle fields use a list of values (LOV). One gets an invalid value error if they try to load data into fields that don’t exactly match any of the LOV’s specified values. An Oracle patch may change one of these fields’ anticipated values. Query the backend Oracle tables using Oracle Business Intelligence Publisher (BI Publisher) before loading. This prevents a LOV load error. Once the permitted values get extracted from Oracle’s configuration table, they get checked against the conversion. This test verifies that the values entered into fields are valid and will not cause record failure.
#Risk 4: Changes to the load process
Test load one record before starting a full load
A load process update is a less typical but extremely effective oracle cloud quarterly update. These adjustments should be sent to users before the next data load.
This update has a higher risk for the organization’s next load. To avoid huge data load difficulties, load one record at a time before loading an entire conversion object.
#Risk 5: Added cutover risk
Solution: Don’t load production data after a patch
The largest threat to a project is oracle cloud quarterly updates applied right before cutover, and this gives no opportunity to evaluate it in a non-production environment. Ensure to test the newest Oracle patch in a different environment before conducting the load in production.
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