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Distributed Data Management

NoSQL databases inherently employ distributed systems to manage data across multiple servers, enhancing fault tolerance and performance.
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The statement of the theorem

Let D\mathcal{D} be a distributed data store managing a dataset D\mathbf{D} across NN nodes. Data consistency is maintained by replicating D\mathbf{D} using a replication factor RR. To ensure fault tolerance against ff failures (where f<Rf < R), a write operation Write(d)\text{Write}(\mathbf{d}) must achieve consensus by successfully committing the update to a quorum WW of nodes, and a read operation Read(d)\text{Read}(\mathbf{d}) must query a quorum RR' of nodes. For strong consistency, the quorums must satisfy the condition: W+R>RW + R' > R This ensures that the intersection of nodes queried for writing and reading is non-empty, guaranteeing that the latest committed version of d\mathbf{d} is always retrieved.
Source: Wikipedia