data fragmentationfragmentation includes
Data Fragmentation
"Fragmentation includes decomposing the data in relation to non-overlapping component relations".
Why do we require fragmenting a relation?
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increased parallelism since the replicated date has several copies a query can be distributed or can be answered from the smallest loaded site also
increased overheads on update on the drawbacks side it will need the system to ensure that all replicas of a relation are consistent this shows that
complete replication it implies maintaining of a whole copy of the database at every site thus the reliability amp availability and performance for
selective replication this is a combination of generating small fragments of relation and replicating them rather than a entire relation the data
data fragmentationfragmentation includes decomposing the data in relation to non-overlapping component relationswhy do we require fragmenting a
use of partial data by applications in common applications work with views rather than whole relations thus it may be more appropriate to work
increases efficiency data is stored close to most often used site therefore retrieval would be faster also data that is not required by local
whether writing listening speaking or attending meetings communication skills are critical to your success in university and work
parallelism of transaction execution a transaction can be divided into various sub-queries that can operate on fragments in parallel this enhances
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