What are the challenges of using parallel data loading in distributed systems?
- Better resource utilization and decreased network traffic
- Enhanced fault tolerance and simplified data management
- Improved scalability and reduced latency
- Increased complexity and coordination issues
Challenges of using parallel data loading in distributed systems include increased complexity and coordination issues. While parallel processing offers advantages, managing synchronization and ensuring consistency become challenging in a distributed environment.
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