Foundations of Data Science
Eventual consistency is a consistency model used in distributed systems, where updates to a data item will eventually propagate to all nodes in the system, ensuring that all copies of the data will converge to the same value over time. This model allows for high availability and partition tolerance, making it well-suited for big data storage solutions where immediate consistency is less critical than performance and scalability.
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