Distributed Data Storage
Distributed data storage refers to the practice of storing data across multiple physical locations or nodes in a network. This decentralized approach allows for increased reliability, scalability, and performance, as well as improved fault tolerance and disaster recovery capabilities. Data is typically replicated or partitioned across different nodes to ensure redundancy and accessibility, making it possible to retrieve and process information efficiently from various points in the network. This distributed architecture is commonly used in cloud computing, big data analytics, and other modern data-intensive applications.
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