Aggregation of data from multiple sources requires checking for meaning rather than just format. When the source system updates the status code, the interface may still return successfully, but incorrect mapping will affect queries and statistics, so field changes require a checking mechanism.

Gathering goals

Start from specific service or statistical needs and explain why certain types of data are needed. All information that can be queried through the interface does not necessarily need to be copied locally, and the collection scope should be determined by authorization and business purposes.

Caliber mapping

Field names, codes, and status may differ across systems, and mapping instructions should be maintained. You cannot merge them directly just because the field names are the same. You must also check the meaning, update frequency and record granularity.

Error handling

Missing data, interface failures and business conflicts should be entered into the traceable exception list. The post-fix record processing method avoids unexplainable differences between the source system and the convergence platform through silent overwriting.

Scenario verification

For example, if the source system updates the status code, the aggregation platform needs to check whether the mapping is still applicable. It is not enough for the interface request to be successful. The business meaning should also be checked and the processing of the exception fields should be recorded.

Specific verification method

Add an unknown status code to confirm that it has entered exception verification instead of the default classification; retain the version after modifying the mapping; handle it according to the rules when two sources give different results for the same object; the update failure record can locate the source field and reception time to facilitate further investigation.

Aggregation fields describe source, purpose and update responsibility. Maintain the mapping when the business meaning changes, and then check the affected queries and indicators to avoid mistaking the success of the interface as the data has been correctly interpreted.