Description: The resolution of inconsistency in distributed databases refers to the process of addressing and correcting discrepancies in data stored across different nodes in a cluster. Since distributed databases replicate data across multiple nodes to ensure availability and fault tolerance, this replication can lead to situations where data on different nodes does not match, known as inconsistency. Resolving these inconsistencies is crucial for maintaining data integrity and ensuring that applications relying on such databases receive accurate and up-to-date information. This process may involve comparing data versions, applying resolution policies (such as last write wins), and synchronizing data between nodes. The ability to efficiently handle inconsistencies is one of the distinguishing features of distributed databases, allowing systems using them to operate effectively even in highly distributed and dynamic environments.
