What are the different types of data consistency?
Data consistency refers to the accuracy and reliability of data across a database. The main types include strong consistency, eventual consistency, and causal consistency.
Can you explain strong consistency?
Strong consistency ensures that any read operation returns the most recent write for a given piece of data, making it reliable.
What about eventual consistency?
Eventual consistency allows for temporary discrepancies between replicas, but guarantees that all updates will propagate eventually.
How does causal consistency differ from the others?
Causal consistency ensures that operations that are causally related are seen by all nodes in the same order, providing a balance between performance and reliability.
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