What is data consistency in distributed systems?
Data consistency in distributed systems refers to the accuracy and uniformity of data across multiple nodes or servers.
Why is data consistency important?
It's crucial because it ensures that all users see the same data at the same time, which is vital for applications like banking.
What are the different models of data consistency?
There are several models, including strong consistency, eventual consistency, and causal consistency, each with its trade-offs.
Can you explain eventual consistency?
Eventual consistency means that, while updates may not be immediately visible to all nodes, they will become consistent over time.
How do distributed systems handle data consistency?
They use various algorithms and protocols, such as Paxos or Raft, to manage and ensure data consistency across nodes.
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