Data Inconsistencies – Every time data is moved it has the potential to be corrupted, dropped, or miss-aligned
Reconciliation must be performed to ensure all records made it from source to target and all data returns the same results regardless of which copy is used.
Increased Latency – Data takes time to move from one place to another
Data has Gravity – Moving data consumes resources
Server compute and memory resources are consumed during the move for both Source and Target servers as well as during reconciliation
Network resources are consumed during the move from Source to Target and during reconciliation
Someone must have created and be responsible for maintaining the move between Source and Target
Increased Data Management Complexity – Each move increases data management complexity
