Category - Distributed File System

Distributed file systems are designed to store and manage large volumes of data across multiple machines in a distributed manner & provide fault tolerance, scalability, and high throughput for big data processing.

Examples: Hadoop Distributed File System (HDFS) and Google File System (GFS).Performance optimization in distributed file systems involves data partitioning, replication, and parallel processing.

Data is partitioned and distributed across multiple machines to enable parallel processing and enhance scalability. Replication ensures fault tolerance and high availability.

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