What is data consistency in distributed databases?
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What is data consistency in distributed databases?
Data consistency in distributed databases refers to the accuracy and uniformity of data across multiple nodes. It ensures that all copies of the data reflect the same values at any given time.
Why is data consistency important?
It's crucial because inconsistent data can lead to errors in applications, affecting decision-making and user experience. Maintaining consistency helps ensure reliability and trust in the data.
What are the common methods to achieve data consistency?
Common methods include using consensus algorithms like Paxos or Raft, implementing distributed transactions, and employing eventual consistency models.
Can you explain eventual consistency?
Eventual consistency is a model where updates to a distributed system will propagate and all nodes will eventually reflect the same data, but not necessarily immediately.
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