Role of Hadoop Distributed File System (HDFS)

@genaiexp The Hadoop Distributed File System, known as HDFS, serves as the foundation of Hadoop's storage capabilities. HDFS is designed to store large datasets across multiple machines, ensuring fault tolerance through data replication. This distributed file system architecture allows for high throughput access to application data and is optimized for handling massive volumes of information. Each file is split into blocks, and these blocks are distributed across the cluster, with copies stored on different nodes to ensure data availability even in the event of hardware failure. HDFS is highly scalable, making it a cost-effective solution for businesses that manage ever-growing datasets. Its ability to store and manage large data files efficiently is one of the key reasons Hadoop is so widely used in big data processing.