What are some common strategies for implementing partitioning in a distributed database system?
- Interval partitioning, Nested partitioning, Join partitioning, Broadcast partitioning
- Range partitioning, Hash partitioning, List partitioning, Round-robin partitioning
- Subpartitioning, Federation, Denormalization, Normalization
- Vertical partitioning, Distributed partitioning, Sharding, Replication
Common strategies for implementing partitioning in a distributed database system include Range partitioning (dividing data based on ranges), Hash partitioning (using a hash function), List partitioning (based on a specified list of values), and Round-robin partitioning (equal distribution without specific criteria). These strategies aid in efficient data management and retrieval in a distributed environment.
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