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Which of the following is a disadvantage of distributed database systems?
  • a)
    Improved fault tolerance
  • b)
    Increased data availability
  • c)
    Complexity in data management
  • d)
    Reduced network latency
Correct answer is option 'C'. Can you explain this answer?
Verified Answer
Which of the following is a disadvantage of distributed database syste...
Distributed database systems introduce complexities in managing data across multiple nodes and ensuring consistency.
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Which of the following is a disadvantage of distributed database syste...
Disadvantages of Distributed Database Systems
Distributed database systems have numerous advantages, but they also come with certain disadvantages. One significant drawback is the complexity in data management.
Complexity in Data Management
- Multiple Locations: Data is stored across different locations, which requires sophisticated management strategies to ensure consistency and coherence.
- Data Synchronization: Keeping data synchronized across distributed nodes can be challenging. Any changes made in one location must be replicated accurately across all other nodes, leading to potential delays and inconsistencies.
- Transaction Management: Distributed transactions are more complex than centralized ones. Ensuring atomicity, consistency, isolation, and durability (ACID properties) becomes more complicated when data is spread across various sites.
- Network Issues: Communication between nodes can be affected by network latency or failures. Managing data transfers during such issues adds another layer of complexity to data management.
- Data Security: Securing data in a distributed environment is more intricate. Different locations may have varied security protocols, making it difficult to enforce uniform security measures.
Conclusion
In summary, while distributed database systems offer benefits like improved fault tolerance and increased data availability, the complexity in managing data across multiple sites poses significant challenges. This complexity can lead to higher operational costs, increased chances of errors, and ultimately impact the performance of the database system.
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