Data Replication Frameworks (DRFs) are software systems or architectures designed to efficiently and reliably copy data from one location (the source) to another (the destination). DRFs are crucial for various purposes, including disaster recovery, high availability, data warehousing, data migration, and distributed data processing. They manage the complexity of data consistency, network latency, and potential data conflicts, often providing features like change data capture (CDC), data transformation, conflict resolution, and monitoring capabilities to ensure data integrity and minimize downtime.
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