Answer Posted / Sidharth Shankar Tiwari
In big data, sharding refers to the process of horizontally partitioning data across multiple nodes or servers. Each node, or shard, stores a portion of the total data and can handle read and write operations independently. This design allows for improved performance and scalability as the dataset grows in size and complexity.
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