Open shuijian-xu opened 5 years ago
Thus, the periodic update of dimensions in the data warehouse must involve only inserts and updates. Any logical deletions (e.g., where a customer ceases to be a customer) must be processed as updates in the data warehouse. It is important to know whether a customer still exists as a customer, but the customer record must remain in the database for the whole lifespan of the data warehouse or, at the very least, as long as there are fact table records that refer to the dimensional record.
The worst scenario is a full table replacement approach where the dimension is, periodically, completely overwritten. The danger here is that any rows that have been deleted in the operational system may be deleted in the data warehouse. Any rows in the fact table that refer to rows in the dimension that have been deleted will cause a referential integrity violation and will place the database in an invalid state.
Any rows in the fact table that refer to rows in the dimension that have been deleted will cause a referential integrity violation and will place the database in an invalid state.