Staging tables Access

In the typical data migration scenario using SAP's Data Migration Cockpit, data from the source system is first loaded into staging tables before being imported into the final application tables. This staging area is designed specifically to let you perform validations and quality checks. Here's how you can access and work with that data before the final import:
  
1. Accessing Data in Staging Tables
  
  
Identify the Staging Tables:
  Data Migration Cockpit creates staging tables with a naming convention (for example, /1LT/DSO_<MigrationObjectID>). These tables hold the migrated data temporarily.
  
  
Direct Table Access:
  While you can use transactions like SE16N or SE11 to look at the raw data in the staging tables, this isn't the recommended approach for business users.
  
  
2. Exposing Staging Data for Business Validation
  
To provide a user-friendly interface for business validation, consider the following methods:
  
  
Develop Custom CDS Views:
  Create ABAP CDS views on top of the staging tables. These views can be annotated with Fiori Elements annotations to support easy consumption in analytical apps. For example:
  
@AbapCatalog.sqlViewName: 'ZDSO_VAL'  @AccessControl.authorizationCheck: #CHECK  @EndUserText.label: 'Staging Data for Validation'  define view Z_CDS_StagingValidation as select from /1LT/DSO_MIGOBJ {      key Field1,      Field2,      Field3,      ...  // other fields relevant for validation  }  
  
  
Build Fiori Analytical Apps:
  Using the CDS views, develop Fiori analytical apps or use Fiori Elements-based list reports. These apps provide interactive dashboards where business users can:
  
Filter and drill down into data
Compare metrics and data points
Export data for further analysis if necessary
Provide sign‑off or approval through integrated workflow buttons
  
  
3. The Validation Process
  
  
Pre‑Import Validation:
  Once the CDS views and Fiori apps are set up, business users can log into the Fiori Launchpad and validate the staging data. They can check:
  
Data accuracy and completeness
Compliance with business rules
Any discrepancies or transformation issues
  
  
Approval Mechanism:
  Integrate an approval workflow within your Fiori app so that once the business users are satisfied, they can digitally sign off on the data. This approval acts as a trigger for the next step—importing the data into the application tables.
  
  
4. Final Import into Application Tables
  
After business validation and sign‑off:
  
Execute the Final Load:
  With approved data in staging, the next step is to execute the final load process that transfers the data from staging tables into the target application tables.
Post‑Load Reconciliation:
  Optionally, you can also create reconciliation CDS views and Fiori apps to compare the staging data against what's now in the application tables, ensuring that no issues occurred during the final load.
  
  
Summary
  
Before the final import, the target system holds the migrated data in staging tables. To allow business users to validate the data:
  
Expose the staging data through custom CDS views.
Develop Fiori analytical apps that provide a user-friendly interface for data review and approval.
Implement an approval workflow so that once the business signs off on the data, you can proceed with importing it into the application tables.
  
This approach ensures that the data is thoroughly validated and approved before it becomes part of your live transactional system.