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This model derived from the BWHHS data was replicated using data from the "usual care" arm of a large randomised trial of health care in general practice for people aged 75 and over.
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This is the reason why compute resources are modelled alongside the 'data replication service' since data is replicated to data centers that enable additional large-scale processing.
Replication of data: In NoSQL, data are replicated over multiple nodes in order to provide high availability and efficiency.
Data is replicated three times to make sure nothing gets lost.
All incoming data is replicated across availability zones for high availability.
Data is replicated across multiple racks and is independent from your droplet.
Such data is replicated across different nodes and is processed in parallel.
This ensures that all data is replicated allowing resilience if individual workers go off-line.
There are two separate centers and data is replicated between them.
Copies of copies are propagated through the network, ensuring that important data is replicated and not linked.
Since the data is replicated three times for redundancy, the actual throughput is 6,613 DS sequences per second.
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