Why is data consistency important in distributed systems?
Data consistency ensures that all nodes in a distributed system reflect the same data at the same time, which is crucial for reliability.
What happens if data consistency is not maintained?
If data consistency is not maintained, it can lead to data corruption, conflicting information, and ultimately system failures.
Can you give an example of a distributed system where consistency is critical?
Sure! In banking systems, data consistency is vital to ensure that account balances are accurate across all branches and online services.
What are some methods to achieve data consistency?
Common methods include using consensus algorithms like Paxos or Raft, and implementing strong consistency models like ACID transactions.
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