How Hadoop Stores Data: HDFS Guide

Hadoop stores data using a distributed file system called HDFS. HDFS distributes large datasets across multiple servers to ensure high reliability and scalability. Data is divided into blocks and stored on different nodes in the cluster, allowing for parallel processing and efficient read/write operations. Additionally, Hadoop provides computing frameworks like MapReduce to enable distributed processing and analysis of data stored in HDFS.