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HDFS is a fault-tolerant, scalable file system that is designed to store and manage very large files across a cluster of computers. It’s the primary storage system used by Hadoop applications.
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Why Use Hadoop DFS?
Data is split into blocks and spread across multiple machines.
Automatically replicates data (default: 3 copies) to prevent data loss.
Each file block is replicated across multiple nodes for high availability.
Optimized for large-scale data access, especially for big files (GBs to TBs).
Easily scales by adding more nodes to the cluster.
Works with Hive, Spark, Pig, etc. for data analytics and processing.
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