When considering scalability, what does the term "sharding" refer to in a distributed database system?
- Adding more replicas of the same data
- Horizontal partitioning of data
- Replicating data across multiple nodes
- Vertical partitioning of data
Sharding in a distributed database system involves horizontally partitioning data across multiple servers or nodes. Each shard contains a subset of the overall data, enabling better scalability by distributing the data workload and reducing the burden on individual nodes. This approach facilitates handling large volumes of data and accommodating increased read and write operations in a distributed environment.
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