Hadoop HDFS
Hadoop Distributed File System (HDFS) is a distributed, scalable, and fault-tolerant file system designed to store and manage large datasets across clusters of commodity hardware. It is a core component of the Apache Hadoop ecosystem, optimized for high-throughput data access and batch processing workloads. HDFS splits files into blocks and replicates them across multiple nodes to ensure data durability and availability.
Developers should learn and use HDFS when building big data applications that require storing and processing petabytes of data, such as in data lakes, log analysis, or machine learning pipelines. It is essential for scenarios where data needs to be distributed across many servers for parallel processing, as in Hadoop MapReduce or Spark jobs, providing reliable storage for large-scale analytics.