What are some strategies for handling data partitioning in distributed Key-Value Stores?
- Consistent Hashing, Range Partitioning, and Composite Key Partitioning
- Indexing, Normalization, and Horizontal Partitioning
- Replication, Atomicity, and Data Warehousing
- Vertical Partitioning, Denormalization, and Sharding
Strategies for handling data partitioning in distributed Key-Value Stores include Consistent Hashing, Range Partitioning, and Composite Key Partitioning. These techniques help distribute data evenly across nodes, ensuring efficient data retrieval and storage in distributed environments.
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