Disadvantages of Data Integration
Disadvantages of Data Integration are as :
1) Data integration is expensive and the commitment of management for integration is often short-lived.
2) There is little or no encapsulation of the application’s functionality.
3) Data Integration enables the integration of data only. It is not well-suited for richer command or event semantics such as Customer ABC Moved, or Place Order.
4) Most data stores use a representation that is different from the underlying programming model of the application layer. The difference in representation requires a translation between the two paradigms.
5) You can easily resolve syntactic differences between systems, but resolving semantic differences can be much more difficult.