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Sync strategies describe principles and patterns for aligning data state across systems, services, or stores. They compare approaches such as push vs. pull, real-time streaming (CDC), and periodic batch replication, including conflict resolution. The goal is reliable consistency, performant transfers, and reduced latency while informing architectural decisio…
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Concepts and patterns for synchronising data state across systems, services and stores.
Sync strategies emerged with distributed applications whose data is created in multiple places but still needs to stay aligned. The field combines data management, replication and integration architecture.
Imagine several copies of a data set being reconciled through messages, change logs or scheduled exchanges. Push and pull, real-time CDC and batch synchronisation trade freshness, load and conflict handling against one another.
The approach provides shared language for the system context under consideration.
Relationships, processes or measures make the effects of decisions traceable.
The approach helps weigh freshness, load and conflict handling when data is reconciled.
Sync strategies support choosing between real-time and batch exchange, setting consistency goals and handling conflicts across distributed data stores.
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